*Greening** Energy Market and Finance Erasmus Mundus Joint Master*
<https://site.unibo.it/grenfin-emjm/en>
An “*Erasmus+ Erasmus Mundus Joint Master*” programme
*ABOUT GRENFIN-EMJM*
Greening Energy Market and Finance - GrEnFIn is a* 24-month Erasmus Mundus
Joint Master* offering *120 ECTS*, culminating in *a multiple degree*
issued by *three partner universities:*
*1. **UNIBO, Alma Mater Studiorum Università di Bologna*
<https://www.unibo.it/en/homepage>*, Italy, programme coordinator *
*2. **LMU, Ludwig-Maximilians-Universität München*
<https://www.lmu.de/en/about-lmu/>*, Germany, full partner *
*3. **UPD, Université Paris Dauphine* <https://dauphine.psl.eu/en/>*,
France, full partner*
The best students selected, coming from all over the world, will have the
opportunity to join an exciting international environment and will be
trained to become *Sustainable Energy Experts*, *professionals able to face
the energy transition and the environmental challenges* capable of
addressing evolving challenges in the energy sector with a comprehensive
global perspective.
*APPLICATION DEADLINE FOR THE ACADEMIC YEAR 2025-2026*
*March 3, 2025, *for EU and NON-EU candidates*. *
*SCHOLARSHIPS AND FINANCIAL SUPPORT*
Prestigious Erasmus Mundus scholarships are available for the best
qualified applicants, covering fees and an allowance of €1400 monthly.
*ASSOCIATED PARTNERS*
Associated partners will support the Programme in various ways, playing an
active role offering research opportunities to students, e.g. for
internship/RAship and Master thesis, delivering lectures at the annual
GrEnFIn Summer/Winter school or as guest lecturers at the three partner
universities.
*ADMISSION REQUIREMENTS*
- A *good level first-cycle degree* in the field of Mathematics,
Physics, Economics, Statistical Sciences, Information Technology,
Engineering.
- A *certified level of proficiency* *in English* (minimum level *B2*).
- An *adequate personal training* assessed on the basis of the academic
merit, the curriculum vitae and an online assessment test.
We would be very grateful if you could disseminate the information about
the opportunity offered by GrEnFIn-EMJM to interested students and
institutions as much as possible.
Should you need any further details or information, please do not hesitate
to contact us at the following address: grenfin.emjm(a)unibo.it
https://site.unibo.it/grenfin-emjm/en
--
*
*Séanadh Ríomhphoist/Email Disclaimer*
*Tá an ríomhphost seo agus aon
chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin
amháin é. Is féidir tuilleadh a léamh anseo. *
*This e-mail and any files
transmitted with it are confidential and are intended solely for use by the
addressee. Read more here.*
*
--
<https://www.facebook.com/DCU/> <https://twitter.com/DCU>
<https://www.linkedin.com/company/dublin-city-university>
<https://www.instagram.com/dublincityuniversity/?hl=en>
<https://www.youtube.com/user/DublinCityUniversity>
Dear Colleagues,
We would like to invite you to the following SPASS seminar, jointly
organized by UniPi, SNS, UniFi and UniSi:
*The Random Euclidean Matching for Gaussian densities*
by *Francesca Pieroni *(*Sapienza*)
The seminar will take place on TUE, 04.03.2025 at 14:00 CET in Aula
Tricerri, Dipartimento di Matematica e Informatica "Ulisse Dini",
Università degli Studi di Firenze, and streamed online at this link
<https://meet.google.com/njf-mxow-mjj>.
The organizers,
A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco
https://sites.google.com/unipi.it/spass
--------------------------------------------
*Abstract: The Random Euclidean Matching is the problem of finding the
optimal matching between two sets of independent random variables X1,…,Xn
and Y1,…,Yn distributed in R^d with a probability density ρ. The main
problem is first to minimize the quantity Cn(π):=\sum_{i=1}^n|Xi-Yπi|^p
with respect to the permutations π of the indexes {1,…,n}, and then to
study the expectation of the minimum of Cn(π) with respect to the
probability distribution of the variables, for fixed p and d and for large
n.The object of this talk is the case of Gaussian random variables, that
is, when the variables are independent and distributed in R^d with the
Gaussian probability density.*
Dear all,
unfortunately, the next OWABI seminar, initially scheduled on February 27, has been cancelled due to unforeseen circumstances. Ayush Bharti's talk will be rescheduled on the 24th April.
Our next OWABI talk will be given by Meïli Baragatti<https://www.vinifera-euromaster.eu/team/meili-baragatti/> (Assistant Professor Institut Agro Montpellier) on Approximate Bayesian Computation with Deep Learning and Conformal prediction on Thursday the 27th March 2025. More info will follow.
Best,
Massimiliano on the behalf of the OWABI Organisers
------
Dr. Massimiliano Tamborrino
Reader and WIHEA Fellow
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino
________________________________
From: Tamborrino, Massimiliano
Sent: 13 February 2025 12:37
To: abc_world_seminar(a)listserv.csv.warwick.ac.uk <abc_world_seminar(a)listserv.csv.warwick.ac.uk>
Subject: OWABI - Ayush Bharti - Feb 27
Dear all,
the next OWABI seminar<http://www.warwick.ac.uk/oneworldabc> is scheduled on Thursday the 27th February at 11am.
I am pleased to inform you that our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference ", with an abstract reported below.
The talk will be streamed on MS Teams on the OWABI Ms Teams channel OWABI Seminar: One World Approximate Bayesian Inference Seminar | General | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…>
You could join the meeting with the link and details below
Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…>
Meeting ID: 311 178 293 223
Passcode: zg3E8kw3
Important: The virtual lobby has been removed, so everyone should now be able to join the seminar without any authorisation.
Abstract: Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex models, and the fact that this cost often depends on parameter values. We therefore propose cost-aware SBI methods which can significantly reduce the cost of existing sampling-based SBI methods, such as neural SBI and approximate Bayesian computation. This is achieved through a combination of rejection and self-normalised importance sampling, which significantly reduces the number of expensive simulations needed. Our approach is studied extensively on models from epidemiology to telecommunications engineering, where we obtain significant reductions in the overall cost of inference.
Keywords: simulation-based inference, approximate Bayesian computation, neural posterior estimation, neural likelihood estimation, importance sampling
Best,
Massimiliano on the behalf of the OWABI Organisers
------
Dr. Massimiliano Tamborrino
Reader and WIHEA Fellow
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino
24th INTERNATIONAL CONFERENCE
CREDIT 2025
*Emerging Global Financial Systems:
Exploring Polarization, Systemic Risks, Innovation, and Sustainable
Solutions
*Venice, Italy
25 –26 September 2025
*
*
*GRETA Associati* (Venice, Italy),*European Datawarehouse* (Frankfurt,
Germany), and *Intesa Sanpaolo *(Milan, Italy) are partners in
organasing a Conference to be held in Venice on September 25-26, 2025.
The CREDIT 2025 conference will bring together academics, practitioners
and PhD students working in various areas of financial and
socio-economic risk with the aim of creating a unique opportunity for
participants to discuss research progress and policy as well as
industry-relevant insights and directions for future research.
The CREDIT 2025 is the *twenty-fourth* in a series of events dedicated
to various aspects of risk and organised under the auspices of: the
*Department of Economics* and *VERA - Venice centre in Economic and Risk
Analytics for public policies* - of the *Ca’ Foscari University of
Venice*, *Joint Research Center European Commission*, and *ABI - Italian
Banking Association*.
Sustainability necessitates a global perspective, requiring the
adaptation of contemporary business and societal models to navigate the
dynamic landscape of the future. Policymakers and society must ensure
that resources, particularly technology, are utilized responsibly and
efficiently to enhance the well-being of both present and future
generations while cultivating a harmonious relationship with the
environment. This strategy is vital in addressing sustainability issues
such as poverty, environmental degradation, pollution, and inequality.
Effective global risk management is vital for bridging divisions and
fragmentation through innovation.
The organizers encourage submissions on any topic within the overall
theme of the conference and in the following areas in particular:
*Framing Global Challenges*
* Macroeconomic Polarization and Financial Fragmentation
o Economic bifurcation between advanced and emerging markets.
o Trade conflicts and their financial spillovers.
o Policy responses to maintain global economic stability.
* Geopolitical Risks and Global Financial Stability
o Implications of geopolitical tensions on global financial
markets: capital flows and volatility.
o Risk management strategies for financial institutions navigating
geopolitical uncertainty.
o The role of national and international economic policies:
shaping a new geopolitical and economic order.
* Technological Innovation in Finance and Insurance
o Digital transformation in the insurance sector: a driver of
resilience or disruption?
o Financing Deep Tech.
o Regulating innovation to balance opportunity and risk.
*Risk Management and Resilience*
* Climate Change as a Systemic Risk
o Impact of climate-induced events on financial and insurance markets.
o Climate risk modeling and its implications for global governance.
o Financing the green transition: opportunities for insurers and
institutional investors.
* Addressing Socioeconomic Disparities
o Polarization in wealth distribution and its implications for
insurance coverage.
o Designing inclusive financial products to address underinsurance
in vulnerable populations.
o The role of insurance in enhancing societal resilience to
systemic shocks.
*Towards a Sustainable Future*
* Innovating Governance for Future Risks
o Cross-border cooperation for risk regulation and mitigation.
o Addressing new risks in cyber security, health crises, and
technological disruptions.
o Innovative governance models in finance and insurance.
The final program will include both submitted and invited papers.
Acceptances received so far from invited speakers include *Andrew Lo
*(MIT Sloan School of Management). The Conference will also include
panel discussions on the major issues at stake with the views of
researchers', practitioners' and policy makers.
The SCIENTIFIC COMMITTEE for the Conference consists of:
*Andrew Lo* (MIT Sloan School of Management, Programme Chair)
*Monica Billio *(Ca’ Foscari University of Venice & GRETA)
*Lucia Alessi *(Joint Research Center, European Commission)
*Marie Brière *(AMUNDI & Université Libre de Bruxelles)
*Mila Getmansky Sherman *(Isenberg School of Management, UMass Amherst)
*Marcin Kacperczyk* (Imperial College London)
*Jan Pieter Krahnen* (Leibniz Institute for Financial Research SAFE &
Goethe University, Frankfurt)
*Steven Ongena *(University of Zurich, Swiss Finance Institute, KU
Leuven, NTNU Business School & CEPR)
*Loriana Pelizzon *(Ca’ Foscari University of Venice & Leibniz Institute
for Financial Research SAFE)
*Roberto Rigobon* (MIT Sloan School of Management)*
Stephen Schaefer *(London Business School)
*Marti Subrahmanyam* (NYU Stern Business School)
CALL FOR PAPERS
Those wishing to present a paper at the Conference should submit by *May
31, 2025 *to the address given below (preferably in electronic format).
Please indicate to whom correspondence should be addressed. Decisions
regarding acceptance will be made by *June 30, 2025*. The final version
of accepted papers must be received by August 31, 2025.
Please send papers to:
GRETA, Dorsoduro 3707, 30123, Venice, Italy
Phone : +39 349 060 3656 - e-mail: credit(a)greta.it
More detailed information available on the Conference website:
https://www.greta.it/index.php/it/credit-2025
<https://www.greta.it/index.php/it/credit-2025>
[Apologies if you receive multiple copies of this CFP]
Call for Papers - International Workshop on Trustworthiness and Reliability in Neurosymbolic AI @ IJCNN2025
July 5th, 2025, Rome, Italy
https://sites.google.com/view/trns-ai
ABOUT
Neurosymbolic AI is a new growing trend that has been able to merge the recent advances in AI through deep learning with logic and rule-based methods. The application of neurosymbolic AI seems to be spreading across many contexts, from image classification to Visual Question Answering. It has an expressive and semantic power that is not usually provided by classical deep learning. In addition, it has great potential in explainability, due to the logic-based methodologies that are a strong component of this context. These capabilities are only a starting point in XAI, they need to be explored in detail to facilitate the interpretability of whole models, in any part of them and not only in terms of the natural relationships that can be discovered. This workshop will focus on two main aspects:
1. Gives the possibility to extend the exploration of the explainability in multiple contexts, developing and adapting techniques that can be useful to relate classical deep learning approaches to their symbolic extensions.
2. Opens to the possibility to extend the understanding of neurosymbolic models to deep
aspects of AI.
These two concepts lead to the trustworthiness and reliability of the new trend of Neurosymbolic AI, increasing the confidence of end-users in choosing and believing in these methodologies for computer-aided applications.
Topics of interest include, but are not limited to:
* Soft Computing methodologies
* Symbolic and Neurosymbolic AI
* Logic and Rule-based methods
* AI methods for explainability, interpretrability and reliability
* Resilient AI models
* From wide to task-specific methodologies
* Machine Learning and Deep Learning based AI methodologies
* Data-driven decision-making
* Multimodal Learning strategies
* Scalability and optimization of intelligent systems
* Generative AI and applications
GREAT EVENT! XAI CHALLENGE FOR PASSIONATE!
The workshop is growing fast and organizers are happy to announce that a challenge has been launched for all passionate students and researchers! The topic is Explainable AI for Educational Question-Answering. All details can be found in the website challenge page.
IMPORTANT DATES
- Submission due: March 20, 2025
- Notification to authors: April 15, 2025
- Camera-ready and early registration due: May 1st, 2025
SUBMISSION INSTRUCTIONS
Submissions must follow the IJCNN2025 rules (https://2025.ijcnn.org/authors/initial-author-instructions). Authors are invited to submit:
- Full papers, up to 8 pages
- Short papers, up to 4 pages
Short papers may also be presented in the poster session. Full and short papers will be published in the conference proceedings.
Submission must be made on CMT using the following link:
https://cmt3.research.microsoft.com/IJCNN2025/Track/3/Submission/Create
COMMITTEES AND CHAIRS
General Chairs
- Prof. Angelo Ciaramella - University of Naples Parthenope, Italy
- Prof. Le Hoang Son - Vietnam National University, Hanoi, Vietnam
- Prof. Emanuel Di Nardo - University of Naples Parthenope, Italy
Program Chairs
- Prof. Alessio Ferone - University of Naples Parthenope, Italy
- Prof. Antonio Maratea - University of Naples Parthenope, Italy
- Prof. Ihsan Ullah - Insight SFI Research Center for Data Analytics, University of Galway, Galway, Ireland
Technical Program Chairs
- Prof. Paola Barra - University of Naples Parthenope, Italy
- Dr. Lorenzo Di Rocco - Sapienza University of Rome, Italy
Challenge Chairs
- Prof. Tho Quan - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Vietnam
- Prof. Anh Nguyen - Department of IT and Economics, University of South Eastern Norway, Norway
- Prof. Fabien Baldacci - Université de Bordeaux, France
The call for papers and additional information about the workshop and challenge can be found at https://sites.google.com/view/trns-ai
È aperto il bando con scadenza 6 marzo 2025 per una posizione di ricercatore a tempo determinato in tenure-track (RTT) in Probabilità e Statistica Matematica (g.s.d. 01/MATH-03 - s.s.d. MATH-03/B) presso il Dipartimento di Matematica e Applicazioni dell'Università di Milano-Bicocca:
https://www.unimib.it/ateneo/gare-e-concorsi/2025-rtt-010
Si prega di condividere con potenziali candidati/e interessati/e.
Cordiali saluti,
FC
--
_________________________________________
Francesco Caravenna
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca
Via Cozzi 55, 20125 Milano, Italy
Office 3016, U5 building
https://staff.matapp.unimib.it/~fcaraven/
_________________________________________
Dear all,
apologies for cross-posting.
Quick note on an upcoming PhD course course on multiple changepoint
analysis that will take place next week @Sapienza-DIAG (Rome, Via Ariosto
25).
Here's the details:
*Schedule*:
1. 24 Feb: 10:00-12:00 | Aula B203 @ DIAG
24 Feb: 13:45-17:00 | Aula B101 @ DIAG
2. 25 Feb: 9:30-12:00 | Aula B203 @ DIAG
25 Feb: 13:45-17:00 | Aula B203 @ DIAG
3. 26 Feb: 9:30-12:00 | Aula B203 @ DIAG
26 Feb: 13:45-17:00 | Aula B203 @ DIAG
4. 27 Feb: 9:30-11:30 | Aula B203 @ DIAG
*Zoom links*:
- AM:
https://inrae-fr.zoom.us/j/96946255684?pwd=Gm04CV5Dw8AZ2bdcRbHHreG9hHaakH.1
- PM:
https://inrae-fr.zoom.us/j/92052483887?pwd=4tuFd0TS6HAxIgYLMRmIkaYPm55LgF.1
*Abstract*
In recent years, there has been a proliferation of methods for detecting
changepoints (also known as breakpoints or structural breaks) in data
streams. This surge has been driven by the wide range of applications where
changepoint methods are needed, including genomics, neuroscience, climate
science, finance, and econometrics, among others. This course serves as an
introduction to multiple changepoint detection methods.
This course will first address the simpler task of detecting a single
changepoint in the mean of a univariate data stream. This is crucial for
understanding several state-of-the-art approaches designed for detecting
multiple changepoints. Subsequently, we will delve into the fundamentals of
two classical approaches for multiple changepoint detection: (1) binary
segmentation and (2) dynamic programming. We will review their statistical
and computational properties and explain some of their recent improvements.
We will illustrate the application of these approaches to genomic datasets
using the Python/R programming language.
*Additional teacher*
Arnaud Liehrmann
*Short-bio *
Guillem Rigaill is a senior researcher (aka DR) at INRAE in France. He is a
member of the GNet Team at the Institute of Plant Sciences Paris-Saclay and
the Stat & Genome team at the Laboratoire de Mathématiques et Modélisation
d'Évry. He received his PhD from AgroParisTech in 2010 for the development
of algorithms and statistical methods for the analysis of breast cancer
data.
His research interests focus on developing efficient algorithms and
appropriate statistical methodologies for analyzing high-dimensional
genomic and transcriptomic data. He has been developing new models for
changepoint detection and proposed inference procedures for these models
that are both statistically and algorithmically efficient. He has applied
those new tools in many interdisciplinary projects involving cancer and
plant biologists, bioinformaticians, and statisticians.
Data Science PhD Program
Dear colleagues,
we are pleased to announce the upcoming Workshop "Mean Field Games, Mean Field Control and Applications to Economics and Finance" which will take place in Pavia from April 9th to April 11th.
The aim of the workshop is to gather experts and young researchers in different fields related to Mean Field Games and Mean Field Control: we would like to provide an environment to share and discuss about analytical and probabilistic approaches, numerical advances, and applications in economics and finance.
The link to the Conference website is:
https://sites.google.com/view/workshop-mmef
The website contains information about the invited speakers, program, venue and registration form and fee. We underline that registration and payment of the fee is mandatory for participants who are not invited speakers.
Looking forward to meet you to Pavia!
The Organizing Committee
Marta Leocata, Daria Ghilli, Giulia Livieri, Daniela Tonon
Dear colleagues,
There is an opening for an assistant professorship in Probability at University College Dublin. See below for details.
—————————
Elia Bisi
Assistant Professor (RTT)
University of Florence
Department of Mathematics & Computer Science
Personal homepage
Florence Probability group
---------- Forwarded message ----------
From: Neil O'Connell <neil.oconnell(a)ucd.ie>
Date: 20 Feb 2025 at 18:25 +0100
Subject: Assistant Professor in Mathematics (Probability), University College Dublin
> Dear colleagues,
>
> [Apologies for cross-posting]
>
> The School of Mathematics and Statistics at University College Dublin has just advertised a permanent position in Probability, with closing date March 25. For more details, see
>
> https://www.jobs.ac.uk/job/DLY015/lecturer-assistant-professor-in-mathemati…
>
> Please forward this to anyone who you think might be interested.
>
> Best wishes,
> Neil
Dear Colleagues,
This is the final reminder that the extended submission deadline for the XXVI Workshop on Quantitative Finance (QFW 2025) is fast approaching. Please submit your paper or extended abstract (minimum four pages) by February 28, 2025, via email to qfw2025(a)unipa.it.
For submission guidelines and further details, please visit the QFW 2025 website<https://qfw2025.community.unipa.it/>.
We look forward to your contributions!
Best regards,
Andrea Consiglio
Workshop Organizing Committee
QFW 2025
Andrea Consiglio
Università di Palermo
Dipartimento di Scienze Economiche, Aziendali e Statistiche.
Viale delle Scienze, Edificio 13
90128 Palermo, Italy
tel:++39-09123895228
fax:++39-091485726
skype: conan_66
email:andrea.consiglio@unipa.it<mailto:email%3Aandrea.consiglio@unipa.it>
pec:andrea.consiglio@pec.it<mailto:pec%3Aandrea.consiglio@pec.it>
www:http://bit.ly/AndreaConsiglio
Buongiorno,
segnalo che al sito web dell'UMI (https://umi.dm.unibo.it/premi/bandi-premi/
)
sono disponibili diversi bandi di premi, tra cui il
Bando Premio Bruno de Finetti 2025 – Profilo A (Edizione Straordinaria)
<https://umi.dm.unibo.it/wp-content/uploads/2025/02/Bando-Premio-Bruno-de-Fi…>
(scadenza
13 aprile 2025).
Il premio è destinato a studiose e studiosi di Calcolo delle Probabilità e
delle sue applicazioni aventi cittadinanza italiana e nati a partire dal 1
gennaio 1985.
Il limite anagrafico si intende aumentato di un anno sia per ogni figlio
avuto (o per ogni congedo parentale di cui si è usufruito) sia per ogni
congedo superiore a 6 mesi dovuto a motivi di salute.
Grazie per l'attenzione
--
=============================================
Antonio Di Crescenzo
Dipartimento di Matematica
Università degli Studi di Salerno
Via Giovanni Paolo II, n. 132
<https://maps.google.com/?q=Via+Giovanni+Paolo+II,+n.+132+%0D%0A84084+Fiscia…>
84084 Fisciano (SA)
Italy
Tel. +39-089-963349
E-mail(1): adicrescenzo(a)unisa.it
E-mail(2): adicresc(a)gmail.com
Web: http://www.unisa.it/docenti/antoniodicrescenzo/index
Skype: antoniodicrescenzo
=============================================
Dear all,
On February 19th, in the classroom Aula Vitali, Department of Mathematics of the University of Bologna, the following seminar will take place:
11:00-12:00: Claudia CECI
“OPTIMAL SELF-PROTECTION VIA BSDES FOR RISK MODELS WITH JUMP CLUSTERS”
as part of the cycle Stochastics and Applications.
The abstract is available at https://seminari.dm.unibo.it/mat/seminars/3738 <https://seminari.dm.unibo.it/mat/seminars/3738>
For any question, please contact the organizers: Elena Bandini (elena.bandini7(a)unibo.it <mailto:elena.bandini7@unibo.it>), Antonello Pesce (antonello.pesce2(a)unibo.it)
Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/)
I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI:
https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb
Il prossimo appuntamento è per lunedì 3 marzo 2025. I relatori saranno Giuseppe Cannizzaro (University of Warwick) e Fabio Toninelli (Technical University of Vienna) che parleranno di:
Teorema del Limite Centrale superdiffusivo per l'equazione di Burgers stocastica alla dimensione critica.
con il seguente orario:
16:30 Primo seminario
17:00 Pausa e discussione
17:15 Secondo seminario
17:45 Conclusione e discussione
Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link:
https://unipd.zoom.us/j/81175434050?pwd=hCozT8gqnlu49Io6LawZWAwLDrnaJ7.1
Meeting ID: 811 7543 4050
Passcode: 871716
Vi aspettiamo numerosi!
Alberto Chiarini e Sonia Mazzucchi
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
RELATORI: Giuseppe Cannizzaro (University of Warwick) e Fabio Toninelli (Technical University of Vienna)
TITOLO: Teorema del Limite Centrale superdiffusivo per l'equazione di Burgers stocastica alla dimensione critica
RIASSUNTO: L'equazione di Burgers Stocastica (EBS) è stata introdotta da van Beijren, Kutner and Spohn per modellizzare sistemi diffusivi asimmetrici con una singola quantità conservata (e.g. il modello di esclusione semplice asimmetrico). Nella dimensione sub-critica d=1, EBS coincide con la derivata dell'equazione KPZ il cui comportamento a grandi scale è superdiffusivo con crescita polinomiale e le cui fluttuazioni coincidono con il KPZ Fixed Point, mentre nelle dimensioni super-critiche d>2, è diffusivo e converge a un'equazione del calore stocastica anisotropica. Alla dimensione critica, è stato congetturato che la EBS sia superdiffusiva con crescita logaritmica con un esponente preciso ma ciò è stato mostrato solo modulo correzioni di ordine inferiore. Il presente seminario è basato su un lavoro assieme a Quentin Moulard https://arxiv.org/abs/2501.00344, in cui indentifichiamo la superdiffusività e deriviamo le asintotiche della matrice di diffusione in modo esatto. Inoltre, dimostriamo che nel limite di scala corretto, ovvero che tiene presente della crescita logaritmiche alla diffusività, la soluzione di EBS soddisfa un teorema del limite centrale. Il nostro è il primo limite di scala superdiffusivo per un'equazione alle derivate parziali stocastica critica, al di là dell'ambito di applicabilità della teoria delle strutture di regolarità di Hairer.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Dear Colleagues,
I am forwarding a petition started by the LMS to save the School of Maths
at the University of Cardiff. Please consider signing it if you may.
Best wishes
Tiziano
---------- Forwarded message ---------
Da: Amanda Turner <0001038771d4c3ec-dmarc-request(a)jiscmail.ac.uk>
Date: lun 17 feb 2025 alle ore 19:24
Subject: Fw: Urgent support for colleagues at Cardiff University
To: <APPLIEDPROB(a)jiscmail.ac.uk>
Dear all,
You may have heard that the Cardiff University is threatening a significant
number of compulsory redundancies within its School of Mathematics. If you
would like to show support for mathematicians at Cardiff please consider
signing the open letter below and forwarding it to others.
Amanda
[please sign this petition and forward on to your professional network]
*Urgent support for colleagues at Cardiff University*
Dear Colleague,
I am writing to you in my role as President of the London Mathematical
Society and Chair of the Campaign for the Mathematical Sciences.
Cardiff University is threatening up to half of its staff in pure and
applied mathematics with compulsory redundancy, despite the department
returning a significant surplus to the university.
As part of our campaign to avert these redundancies, we are now launching
an open letter which can be viewed here:
*https://tinyurl.com/2vjxurb9 <https://tinyurl.com/2vjxurb9>*
If you are supportive and would like to sign, please fill in this form:
*https://forms.gle/bqwZXMkajEVbucWe7 <https://forms.gle/bqwZXMkajEVbucWe7>*
Your name should then automatically appear on the letter (refresh the form).
Feel free to forward this message to your professional network.
With many thanks for your support.
Best wishes,
Jens
*Professor Jens Marklof FRS*
Henry Overton Wills Chair, University of Bristol
President, London Mathematical Society
Chair, Campaign for the Mathematical Sciences
------------------------------
To unsubscribe from the APPLIEDPROB list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=APPLIEDPROB&A=1
*School on Robust Statistics: Theory and Computation*
*Date:* 15-17 May 2025
*Location:* Joint Research Centre of the European Commission, Ispra
(Varese), Italy
The *School on Robust Statistics*
<https://datascience.maths.unitn.it/icors2025/school.html> is an *educational
event* tailored for students, early-career researchers, and professionals.
It precedes the International Conference on Robust Statistics (ICORS 2025)
<https://datascience.maths.unitn.it/icors2025/> and offers a unique
opportunity to learn from leading experts in robust statistics.
The school will cover a broad range of topics central to robust statistics,
starting with foundational principles and concepts that underpin
robustness, such as breakdown points, influence functions, and the
asymptotic properties of robust estimation techniques. These foundational
elements are crucial for understanding why robust methods are indispensable
in real data analysis, particularly in scenarios where standard approaches
fail.
Whether you are a student just beginning your journey into robust
statistics or an experienced researcher looking to stay at the forefront of
the field, this school provides an opportunity to learn, connect, and grow
in an intellectually stimulating environment.
*Lectures will be delivered in English.*
The school has an excellent lineup of top-class lecturers covering a range
of diverse topics in Robust Statistics:
- Rik Lopuhaä (TU Delft, Netherlands)
- Abhik Ghosh (Indian Statistical Institute, India)
- Peter Rousseeuw (KU Leuven, Belgium)
- Marco Riani (University of Parma, Italy)
- Valentin Todorov (UNIDO, Austria)
*Registration:*
- *Opening Date:* 15 January 2025
- *Fee:* Free of charge
- *Link to Register:*
https://web.jrc.ec.europa.eu/remjrc/screen/meeting/16640/registration-form
For further details, please visit:
https://datascience.maths.unitn.it/icors2025/school.html
------------------------------
We look forward to welcoming you to *Ispra!*
Best regards,
The ICORS 2025 Organizing Committee
- Claudio Agostinelli (University of Trento)
- Francesca Greselin (University of Milano Bicocca)
- Domenico Perrotta (Joint Research Center)
- Marco Riani (University of Parma)
Francesca Greselin <https://www.unimib.it/francesca-greselin>,
Associate Professor
University of Milano-Bicocca
Scopus <https://www.scopus.com/authid/detail.uri?authorId=25936155400> - Wos
<https://www.webofscience.com/wos/author/record/A-8770-2015> - ArXiv
<https://arxiv.org/search/?query=Francesca+Greselin&searchtype=all&source=he…>
- Personal page <https://sites.google.com/unimib.it/francesca-greselin> -
ResearchGate
<https://www.researchgate.net/profile/Francesca-Greselin/research> - Google
Scholar <https://scholar.google.com/citations?hl=it&user=xOOTbBAAAAAJ>
https://unimib.webex.com/meet/francesca.greselin
Buongiorno a tutti,
Vorremmo segnalarvi che venerdì prossimo (21 Febbraio) in aula 1BC45 (Torre Archimede, Università di Padova) ci saranno due seminari per il ciclo di seminari in Probabilità e Finanza di:
1. Claudio Macci (Università di Roma Tor Vergata)
<https://www.mat.uniroma2.it/~macci/> https://www.mat.uniroma2.it/~macci/
Title: Large and moderate deviations for Gaussian neural networks
Date: February 21, 2025, at 14:30, room 1BC45
Abstract: We prove large and moderate deviations for the output of Gaussian fully connected neural networks. The main achievements concern deep neural networks (i.e., when the model has more than one hidden layer) and hold for bounded and continuous pre-activation functions. However, for deep neural networks fed by a single input, we have results even if the pre-activation is ReLU. When the network is shallow (i.e., there is exactly one hidden layer) the large and moderate principles hold for quite general pre-activations and in an infinite-dimensional setting. Joint work with Barbara Pacchiarotti (Università di Roma Tor Vergata) and Giovanni Luca Torrisi (IAC-CNR).
2. Jonathan Tam (Università di Verona)
<https://sites.google.com/view/jonathanyytam/home> https://sites.google.com/view/jonathanyytam/home
Title: Extended mean-field control: a finite-dimensional numerical approximation
Date: February 21, 2025, at 15:30, room 1BC45
Abstract: We present a finite-dimensional numerical approximation for a class of extended mean field control problems. Our algorithm learns the value function on the whole Wasserstein domain, as opposed to a fixed initial condition. We leverage the approximation of the mean field problem by a finite-player cooperative optimization problem, due to the propagation of chaos, together with the usage of finite-dimensional solvers. This avoids the need to directly approximate functions on an infinite-dimensional domain, and allows for more efficient memory usage and faster computation times.
Vi aspettiamo numerosi!
Alberto Chiarini e Alekos Cecchin
Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…>
Venerdì 21/02/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
12.00-13.00
Speaker: Nial Friel (University College Dublin)
Title: The clustered Mallows model
Abstract: Rankings represent preferences that arise from situations where assessors arrange items, for example, in decreasing order of utility. Orderings of the item set are permutations that reflect strict preferences. However, strict preference relations can be unrealistic for real data. In large item sets, assessors might prioritise certain items, rank others low, and express indifference towards the remaining. Rank aggregation may involve decisive judgments in some parts and ambiguity in others. In this talk, we extend the famous Mallows (Mallows, 1957) model (MM) to accommodate item indifference. Grouping similar items motivates the proposed Clustered Mallows Model (CMM), a MM counterpart for tied ranks with ties learned from the data. The CMM provides the flexibility to combine strictness and indifferences, describing rank collections as ordered clusters. Bayesian inference for the CMM is a doubly-intractable problem since the normalised model is unavailable. We overcome this with a version of the exchange algorithm (Murray et al.,2006) and provide a pseudo-likelihood approximation as a computationally cheaper alternative. Analysis of two real-world ranking datasets is presented, showcasing the practical application of the CMM and highlighting scenarios where it offers advantages over alternative models.
------------------------------------------------
Sarà possibile il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 19/02/2025 * a matteo.giordano(a)unito.it <mailto:matteo.giordano@unito.it>
Il webinar è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats <http://www.carloalberto.org/stats>) in collaborazione con il Collegio Carlo Alberto.
Cordiali saluti,
Matteo Giordano
Assistant Professor (RTDA)
Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS)
www.matteogiordano.weebly.com <https://matteogiordano.weebly.com/>
Ricevo e con piacere inoltro.
FC
> Da: Alessandro Giuliani <alessandro.giuliani(a)uniroma3.it>
> Oggetto: First announcement - QFT conference in Roma, 15-17 sept 2025
>
> Dear colleagues,
>
> it is a pleasure to announce the conference
>
> QFT AT THE CROSSROADS between MATHEMATICS AND PHYSICS
>
> which will take place on September 15-17, 2025, at the Department of Physics of Sapienza Università di Roma.
>
> The conference is the closing event of the PRIN project "Mathematical Interacting Quantum Fields" and it will focus on the long-standing problem of the non-perturbative foundation of Quantum Field Theory.
>
> Recent years have seen a revived interest both of mathematicians and physicists on this central question. New techniques and approaches are being developed by different communities. This conference aims at gathering researchers with different backgrounds and favoring a constructive dialogue about methods and future research directions.
>
> The list of speakers is attached below.
>
> The REGISTRATION is free but mandatory (deadline: March 21, 2025) and is available on the workshop website:
>
> https://sites.google.com/view/qft-at-the-crossroads
>
> For additional informations, please write at alessandro.giuliani(a)uniroma3.it <mailto:alessandro.giuliani@uniroma3.it>.
>
> Please feel free to circulate the announcement among colleagues and students who may be interested in the event.
>
> With best regards,
>
> Alessandro Giuliani and Vieri Mastropietro
>
> SPEAKERS:
>
> Roland Bauerschmidt (NYU)
> Sourav Chatterjee (Stanford)
> Jon Dimock (SUNY Buffalo)
> Jürg Fröhlich (ETH Zurich)
> Giovanni Gallavotti (Roma Sapienza)
> Holger Gies (FSU Jena)
> Alessandro Giuliani (Roma Tre)
> Razvan Gurau (Heidelberg)
> Clement Hongler (EPFL Lausanne)
> David Kaplan (Washington)
> Igor Klebanov (Princeton)
> Christoph Kopper (Polytechnique Palaiseau)
> Antti Kupiainen (Helsinki)
> Marcos Mariño (Geneva)
> Vieri Mastropietro (Roma Sapienza)
> Kasia Rejzner (York)
> Slava Rychkov (IHES)
> Manfred Salmhofer (Heidelberg)
We are pleased to announce the PhD course "Mathematical Climate
Finance", held by Prof. Andrea Macrina (Department of Mathematics,
University College London)
The course is organized by the Doctoral Program in Mathematical
Sciences, under the framework "Shaping a World-Class University" of the
University of Padova
---------------------
Outline
This is an introduction to mathematical climate finance by in-depth
treatment of some of the recent advances in this burgeoning field of
research in financial mathematics. The focus will be on climate transition
risk that, together with physical risk, is a major source of climate
change risk impacting economies and financial markets. The mathematics,
especially the formulation and modelling aspects, on which climate finance
is based, is at the core of this course. The aim is thus the study and
development of climate finance anchored in financial mathematics.
Mathematical climate finance is an active area of research, and this
course aims at keeping up- to-date with new insights and ongoing research
progress in academia and the industry. A taste of the topic treated in
this course can be sampled from the cover story in the Fields Notes, Vol.
12:4, Spring/Summer 2024.
https://www.fields.utoronto.ca/sites/default/files/uploads/01875_FI_FieldsN…
A more detailed description of the course can be found here:
https://www.math.unipd.it/~dottmath/corsi2025/Macrina.pdf
---------------------------
The course will consist of 16 hours, beginning on February 25, 2025 with
the following calendar:
25/2 h. 15-17
27/2 h. 16-18
4/3 h. 15-17
6/3 h. 16-18
11/3 h. 15-17
13/3 h. 16-18
18/3 h. 15-17
19/3 h. 15-17
The course is free, but for organizing reasons we kindly ask all
interested people to enroll the course here:
https://servizi-esterno.math.unipd.it/userlist/lista/view?id=118
------------------
Best regards
Tiziano
--------------------------------------------------------------------------
Tiziano Vargiolu
Dipartimento di Matematica Phone: +39 049 8271383
Universita' di Padova Fax: +39 049 8271428
Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it
I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu
--------------------------------------------------------------------------
Dear all,
the next OWABI seminar<http://www.warwick.ac.uk/oneworldabc> is scheduled on Thursday the 27th February at 11am.
I am pleased to inform you that our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference ", with an abstract reported below.
The talk will be streamed on MS Teams on the OWABI Ms Teams channel OWABI Seminar: One World Approximate Bayesian Inference Seminar | General | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…>
You could join the meeting with the link and details below
Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…>
Meeting ID: 311 178 293 223
Passcode: zg3E8kw3
Important: The virtual lobby has been removed, so everyone should now be able to join the seminar without any authorisation.
Abstract: Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex models, and the fact that this cost often depends on parameter values. We therefore propose cost-aware SBI methods which can significantly reduce the cost of existing sampling-based SBI methods, such as neural SBI and approximate Bayesian computation. This is achieved through a combination of rejection and self-normalised importance sampling, which significantly reduces the number of expensive simulations needed. Our approach is studied extensively on models from epidemiology to telecommunications engineering, where we obtain significant reductions in the overall cost of inference.
Keywords: simulation-based inference, approximate Bayesian computation, neural posterior estimation, neural likelihood estimation, importance sampling
Best,
Massimiliano on the behalf of the OWABI Organisers
------
Dr. Massimiliano Tamborrino
Reader (Associate Professor) and WIHEA Fellow
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino
Dear colleagues,
you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano.
Wednesday, 19 February 2025, 12.15-13.15
Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus)
Marzia De Donno (Università Cattolica del Sacro Cuore)
Title: Short rate models with stochastic discontinuities: a PDE approach.
Abstract: With the recent reform of interest rate benchmarks, interbank offered rates (IBORs) like LIBOR have been replaced by risk-free rates (RFRs), such as the Secured Overnight Financing Rate (SOFR) in the U.S. and the Euro Short-Term Rate (€STR) in Europe. These rates exhibit characteristics like jumps and spikes that correspond to specific market events, driven by regulatory and liquidity constraints. To capture these characteristics, this paper considers a general short-rate model that incorporates discontinuities at fixed times with random sizes. Within this framework, we introduce a PDE-based approach for pricing interest rate derivatives. For affine models, we derive (quasi) closed-form solutions, while for the general case, we develop numerical methods to solve the resulting PDEs.
(Joint work with A. Calvia, C. Guardasoni, S. Sanfelici).
Next seminar: Katia Colaneri (Università di Roma Tor Vergata), 5 March 12.00.
All news can be found on the QFinLab webpage<https://www.qfinlab.polimi.it/seminars-and-meetings/>.
The organizers: Michele Azzone and Alessandro Calvia
Si informa che è stato pubblicato il bando *2025RTT01 * relativo
all'indizione di una procedura selettiva per l’assunzione di n. 15
ricercatori a tempo determinato in tenure-track (RTT) ai sensi dell’art. 24
della legge 240/2010 come modificato dalla L. 79/2022.
In particolare, presso il Dipartimento di Scienze Statistiche:
- uno nel *GSD 13/STAT-01*, SSD STAT-01/A STAT-01/B (Allegato 12)
- uno nel *GSD 13/STAT-02*, SSD STAT-02/A (Allegato 13)
Info al link: https://www.unipd.it/procedura-2025RTT01
*Scadenza: 13.03.2025 ore 13*
Si prega di dare la massima diffusione presso tutti gli interessati.
Grazie per la collaborazione
Alessandra Fabbri Colabich
--
Dott.ssa Alessandra Fabbri Colabich
Università degli Studi di Padova
Dipartimento di Scienze Statistiche
The PhD School in Mathematics at the University of Bologna is pleased to
invite you to the Open Day of the PhD Program in Mathematics, an event
dedicated to master’s students interested in pursuing advanced studies
and research.
During the event, you will have the opportunity to explore the main
research areas within the PhD program, meet faculty members and PhD
students, gain insights into the curriculum, and receive useful
information on admission procedures, scholarships, and career opportunities.
At the end of the presentations, there will be a dedicated session for
questions and individual discussions.
📅 Date: Wednesday, March 5th, 2025
📍 Link: https://sites.google.com/view/mathphd-openday-bologna/home
Don't miss this opportunity to learn more about the PhD Program in
Mathematics!
--
---------------------------------------------------------------
Andrea Pascucci andrea.pascucci(a)unibo.it
Dipartimento di Matematica
P.zza di Porta S. Donato, 5 40126 Bologna - Italy
Office Tel. +39-0512094428 Fax +39 0510821834
https://sites.google.com/view/andrea-pascucci/
Skype: andrea.pascucci
https://unibo.zoom.us/j/8625962910
---------------------------------------------------------------
Ricevo ed inoltro.
Cordiali saluti,
Francesca Collet
________________________________
Da: Eni Musta <e.musta(a)uva.nl>
Inviato: mercoledì 12 febbraio 2025 17:44
A: Francesca Collet <francesca.collet(a)univr.it>
Oggetto: PhD positions in Statistics (Amsterdam)
Dear Francesca,
Could you please distribute the announcement below about two PhD positions in Statistics?
Many thanks,
Eni
________________________________
Dear all,
Applications are invited for two PhD positions in Statistics: one at the Korteweg-de Vries Institute for Mathematics of the University of Amsterdam and one at the department of Econometrics and Data Science of the Vrije Universiteit Amsterdam. The positions are part of a research project on survival analysis and extreme value theory, funded by the Dutch Research Council (NWO).
More details about the vacancies can be found at the links below:
*
UvA position
https://werkenbij.uva.nl/en/vacancies/phd-position-in-statistics-on-surviva…
*
VU Amsterdam position
https://workingat.vu.nl/vacancies/phd-position-in-extreme-value-theory-for-…
We would be grateful if you could share the vacancies with interested candidates.
Best wishes,
Eni Musta
____________________________________
Dr. E. Musta
Assistant Professor of Statistics
University of Amsterdam
Korteweg-de Vries Institute for Mathematics
Science Park 105-107, 1098 XG Amsterdam