Si segnala il seguente seminario a tutti gli interessati.
Mercoledì 6 Marzo 2024, ore 11:30.
Aula Seminari III Piano, Dipartimento di Matematica, Politecnico di Milano.
Speaker: Andrea Di Primio.
Title: Stochastic diffuse interface models with conservative noise.
Abstract:
Cahn-Hilliard type models are widely used to model phase separation phenomena occurring in multicomponent systems subject to thermodynamical stress. In 1970, a stochastic variant taking into account thermal effects driving spinodal decomposition was proposed by H. Cook. This model generalizes its deterministic counterpart and better fits available experimental data, especially in the early stages of phase separation. In this talk, I will examine the stochastic analysis of an almost-surely mass-conserving stochastic Cahn-Hilliard model, which stems from the original Cahn-Hilliard-Cook model when endowed with a conservative noise in divergence form. The mass conservation property is indeed expected in the deterministic version of the system. Our first-step investigation concerns the existence of unique probabilistically strong solutions to the equation, appealing to stochastic variational techniques. Some insights on the corresponding Allen-Cahn relaxation, for which we show conditional results, will also be given. In all models, a thermodynamical singular potential is considered. Further open questions will also be presented.
Link Zoom:
https://polimi-it.zoom.us/j/96554067742?pwd=Wm9JZTZZcWV0Tkpld1dHUHlXS0R0Zz09
Link Seminario Polimi:
https://www.mate.polimi.it/eventi/?id=2393
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Luca Scarpa, PhD
Associate Professor
Department of Mathematics
Politecnico di Milano
Via E. Bonardi 9
20133 Milano, Italy
e.mail: luca.scarpa(a)polimi.it
url: https://sites.google.com/view/lucascarpa
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Venerdi 8 Marzo 2024, alle ore 12.00, presso il Collegio Carlo Alberto, in
Piazza Arbarello 8, Torino, si terrà il seguente seminario:
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Speaker: Jaromir Sant (University of Oxford UK)
Title: *Inferring natural selection and allele age from allele frequency
time series data via exact simulation*
Abstract:
A standard problem in population genetics is that of inferring evolutionary
and biological parameters such as the strength of natural selection and
allele age from DNA samples. Up until recently, most of the datasets
available for such a task were obtained by sampling individuals from a
contemporaneous population simultaneously, thereby offering a static
snapshot of the population’s genetic diversity. However, recent advances in
DNA extraction and sequencing technologies have allowed for ancient DNA
found at archaeological sites to be analysed, leading to the creation of
several time-series datasets detailing historical changes in allele
frequencies. These datasets have paved the way for the development of
powerful inferential techniques which explicitly exploit this new temporal
dependence in the data to provide better estimators. In this talk I shall
introduce a Markov Chain Monte Carlo framework which allows for inferring
selection and allele age based on time-series data coming from an
underlying Wright-Fisher diffusion. The chief novelty is that by augmenting
the state space with the unobserved diffusion trajectory we are able to
develop an efficient method in which trajectory updates and accept/reject
probabilities can be calculated without error, in spite of the diffusion’s
intractable transition density. We illustrate the method’s performance on
simulated data, and subsequently apply it to an ancient DNA horse dataset.
This is joint work with Paul Jenkins (Warwick), Jere Koskela (Newcastle),
and Dario Spanò (Warwick).
------------------------------------------------
Sarà possibile seguire il seminario anche in streaming:
Join Zoom Meeting
<https://us02web.zoom.us/j/87097731960?pwd=TjZ3YlNEbjFYeW9sUkl6OXN2SDB1QT09>
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Dear Colleagues,
we would like to draw your attention to the upcoming 2024 IEEE
INTERNATIONAL WORKSHOP ON METROLOGY FOR LIVING ENVIRONMENT that will be
held at Chania, Crete, GREECE, June 12-14, 2024.
The following Special Session is open to receive your submissions.
PROBABILITY AND MATHEMATICAL STATISTICS FOR LIVING ENVIRONMENT AND METROLOGY
Probability Theory and Statistics provide powerful tools for the
development of new mathematical models to describe real life phenomena. In
particular, the use of metrology refers to living environment plays an
important role in many applicative fields to understand and identify
sources of variability and to minimise their influence. The aim of this
section is to cover the lack of probabilistic and machine learning
approaches in this area. In fact, one of the most significant advantages
using probabilistic models is to gain a comprehensive view of the
uncertainty associated with a measurement result. A special attention will
be give to results related to the quality of the living environment as a
direct impact on human health and well-being.
Website: https://www.metrolivenv.org/special-session-2
The deadline for Extended Abstract Submissions is March 10, 2024.
https://www.metrolivenv.org/call-for-papers
For further information and updates please visit the conference website:
https://www.metrolivenv.org/index.php/
We are looking forward to Welcome you in Chania!
Do not hesitate to forward this message to anyone who could be interested.
Thank you very much for your kind consideration, and apologies for multiple
copies.
We look forward to hearing from you.
Best Regards,
The Session Organizers
Dr Antonella Iuliano
Assistant Professor (RTD-B) in Probability and Mathematical Statistics
Department of Mathematics, Computer Science, and Economics
<https://portale.unibas.it/site/en/home/about-us/departments-and-schools/art…>
(DIMIE)
University of Basilicata
Viale dell'Ateneo Lucano, n. 10, 85100, Potenza (Italy)
e-mail: antonella.iuliano(a)unibas.it <mariagrazia.russo(a)unibas.it>
phone: +39 0971205891
mobile: +39 3926786025
23nd INTERNATIONAL CONFERENCE
CREDIT 2024
*The frontiers of new risks:
AI, digital and sustainability transitions *
Venice, Italy
3 –4 October 2024
*
*
*GRETA Associati* (Venice, Italy),*CRIF* (Bologna, Italy), *European
Datawarehouse *(Frankfurt am Main, Germany), *European Investment Fund*
(Luxembourg), *Intesa Sanpaolo* (Milan, Italy) and *Modefinance*
(Trieste, Italy) are partners in organising a Conference to be held in
Venice on October 3-4, 2024. *
*
The CREDIT 2024 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.
CREDIT 2024 is the *twenty-thrid* in a series of events dedicated to
various aspects of credit 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*, *ABI - Italian
Banking Association*, *AIAF - Associazione Italiana per l'Analisi
Finanziaria*, *AIFIRM - Associazione Italiana Financial Industry Risk
Managers*.
Sustainability necessarily involves the adaptation of today’s business
model to the dynamic nature of the current digitalised environments.
Corporations need to make sure that resources, especially technology,
are being used responsibly and efficiently to improve the lives of the
present generations and future generations as well as strengthen their
relationships with the environment as to solve sustainability-related
problems such as poverty, environmental degradation, pollution and
inequality.
Artificial Intelligence (AI) has the potential to address these societal
problems including sustainability. The climate crisis and the
degradation of the physical environment are complex problems that
require the most innovative and advanced solutions. The real value of AI
hence lies in its ability to facilitate and foster environmental and
social governance, rather just as a tool to reduce pollution, poverty
and resource depletion.
In the age of AI, societies depend on big data, social media, knowledge
management and data science to survive and achieve these sustainability
goals. AI has the potential to reshape not only finance and industry but
also the whole society. There is need to understand opportunities and
challenges as to properly manage all relevant risks.
The organisers encourage submissions on any topic within the overall
theme of the conference, with attention to *the use of AI to assess the
sustainability impact of finance *(i.e. exploiting AI techniques or Big
Data to bridge primary information gaps and proxy the sustainability
impact) and *on how climate and digital risks may interact* (i.e.
climate denial, social media and social media strategies including
deepfakes).
The final program will include both submitted and invited papers.
Acceptances received so far from invited speakers include *Patrick
Bolton *(Imperial College London), and *Roberto Rigobon* (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:
*Marcin Kacperczyk *(Imperial College London, Programme Chair)
*Monica Billio* (Ca’ Foscari University of Venice & GRETA)
*Marie Brière* (AMUNDI & Université Libre de Bruxelles)
*Lucia Alessi* (Joint Research Center, European Commission)
*Leonardo Gambacorta *(Bank For International Settlements)
*Mila Getmansky* (Isenberg School of Management, UMass Amherst)
*Christian Gollier* (Toulouse School of Economics)
*Helmut Kraemer-Eis *(European Investment Fund)
*Jan Pieter Krahnen *(Leibniz Institute for Financial Research SAFE &
Goethe University)
*Steven Ongena* (University of Zurich, Swiss Finance Institute, KU
Leuven, NTNU Business School & CEPR)
*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, 2023 *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, 2023*. The final version
of accepted papers must be received by August 31, 2023.
Please send papers to:
GRETA Associati, San Polo, 2605 - 30125 Venice, ITALY
Phone : +39 041 5238178 - e-mail: credit(a)greta.it
More detailed information available on the Conference website:
https://www.greta.it/index.php/it/credit-202
Cari colleghi,
Inoltro questo annuncio di conferenza che può essere di interesse per alcuni.
Grazie.
Saluti,
Gianni
—
Gianni Pagnini
Ikerbasque Research Associate
BCAM - Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
gpagnini(a)bcamath.org | www.bcamath.org/gpagnini
( matematika mugaz bestalde )
> Begin forwarded message:
>
> From: "Yana Kinderknecht (Butko)" <yanabutko(a)yandex.ru>
> Subject: information about the OPSO 2024 Conference
> Date: 29 February 2024 at 21:14:09 CET
> To: "gpagnini(a)bcamath.org" <gpagnini(a)bcamath.org>
>
> Dear Gianni,
>
> I am in the Organizing Committee of the OPSO 2024 Conference (all information is below). If you or somebody from your team / colleagues are interested in participation, you all are welcome!!! Please, feel free to disseminate this information!
>
> Best wishes,
> Yana
>
> _________________________________________________________________________________
>
> Dear colleagues!
>
> We invite you to participate at the International Conference
>
> ONE-PARAMETER SEMIGROUPS OF OPERATORS 2024:
> STOCHASTICS & DYNAMICS
> JUNE 3-7, 2024
> This is the fourth conference of the series "One-Parameter Semigroups of Operators" (OPSO), hosted this year by Laval University, Quebec City, Canada.
>
> The conference will bring together researchers who use operator-theoretic, harmonic-analytic and semigroup-theoretic methods to study PDEs arising in Mathematical Physics and Stochastic Dynamics. The following topics will be covered:
>
> One-parameter (semi)groups of linear operators, their applications and generalizations
> Semigroups of operators and Markov processes
> Singular stochastic dynamics
> Spectral theory, Schrödinger operators and unique continuation
> Non-local operators, operator inequalities and heat kernel bounds
> Nonlinear PDEs and stochastic equations
> Quantum physics, quantum information and quantum dynamical semigroups
> Applications of semigroups in natural sciences
>
> The conference will be held online via Zoom. Participation in the conference is free, registration is required to get the password for the Zoom sessions. Registration is already open and will be open until the end of the conference. The deadline for abstract submission is May 20, 2024.
>
> Please find further information and the registration form at the website of the conference:
>
> https://www.opso2024.fsg.ulaval.ca/ <https://www.opso2024.fsg.ulaval.ca/>
> Looking forward to meeting you at the Conference!
>
> Organizing Committee
>
Dear colleagues,
We have opened a 1-year postdoctoral position at the Economics Department of the University of Verona (scientific sector SECS-S06: mathematical models for economics and finance).
The research position is opened as part of the PRIN PNRR project “Probabilistic Methods for Energy Transition” and it is ideally meant for young researchers.
The research program aims at studying, from the theoretical and numerical point of view, optimal control problems for the evaluation and optimization of renewable energy sources.
Details on the position and the application procedure are available at the following link:
https://www.univr.it/it/concorsi/assegnisti-di-ricerca/assegni-di-ricerca/0…
Candidates will be evaluated based on their scientific quality and their potential in developing research. There is no teaching obligation and knowledge of Italian is not required.
The deadline for the application is the 19th of March 2024 (h. 13.00).
The Economics Department of the University of Verona has been recognised as “Dipartimento di Eccellenza” (Department of Excellence) in the last Italian Government research evaluation.
The research group in quantitative and mathematical finance of the University of Verona offers a vibrant and young working environment. Members of the group:
- Alessandro Gnoatto (full professor)
- Cecilia Mancini (full professor)
- Cosimo-Andrea Munari (associate professor)
- Athena Picarelli (associate professor and local coordinator of the
project)
- Andrea Mazzon (tenure-track assistant professor)
- Sara Svaluto-Ferro (tenure-track assistant professor)
- Jonathan Tam (post-doc)
University partners of the project are:
- Università di Milano Statale (local coordinator and PI of the project: Prof. Luciano Campi)
- Università di Padova (local coordinator: Prof. Tiziano Vargiolu)
- Università di Torino (local coordinator: Prof. Tiziano De Angelis)
The call is in Italian, we will be happy to provide help to non Italian
speakers with the application form.
IMPORTANT: please, avoid including links to personal webpages when submitting your application to ensure the correct reception of your messages.
For any query and help needed please contact: athena.picarelli(a)univr.it<mailto:athena.picarelli@univr.it>
Best regards.
Dear all,
we are glad to announce the following hybrid seminar
*March 12, 2024, 12:15 PM*
*Where*: Aula Delta 2C- edificio Zeta (Campus Scientifico), Via Torino,
155 Mestre (Venice, Italy)
Zoom:
https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09
*Speaker*: Alessandra Menafoglio, Politecnico di Milano (Milano, Italy)
*Title*: The Bayes space approach to functional data analysis for
probability density functions
*Abstract:*
In the presence of increasingly massive and heterogeneous data, the
statistical modeling of distributional observations plays a key role.
Choosing the ‘right’ embedding space for these data is of paramount
importance for their statistical processing, to account for their nature
and inherent constraints. The Bayes space theory is a natural embedding
space for (spatial) distributional data, and was successfully applied in
varied settings. In this presentation, I will discuss the
state-of-the-art methods for the modelling, analysis, and prediction of
distributional data, with a particular attention to cases when their
spatial dependence cannot be neglected. I will embrace the viewpoint of
object-oriented spatial statistics (O2S2), a system of ideas for the
analysis of complex data with spatial dependence. All the theoretical
developments will be illustrated through their application on real data,
highlighting the intrinsic challenges of a statistical analysis which
follows the Bayes spaces approach.
Best regards,
Carlo Gaetan
--
-
Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS
Università Ca' Foscari - Venezia
Z.A12 - Edificio Zeta
Via Torino, 155
I-30172 Mestre (VE)
ITALY
phone: ++39 041 234 8404
e-mail:[gaetan"at"unive"dot"it]
web:[http://www.dais.unive.it/~gaetan]
Please don't print this e-mail unless you really need to.
Please avoid sending me Word, Excel or PowerPoint attachments. Seehttp://www.gnu.org/philosophy/no-word-attachments.html.
Per favore non stampate questo messaggio se non è proprio necessario.
Per favore non mandatemi allegati in Word, Excel o PowerPoint. Le ragioni sono spiegate quihttp://www.gnu.org/philosophy/no-word-attachments.it.html
1 Year Post-Doc position in Verona
I am looking for a post-doc to join my group. The topic of the research project is "Machine learning and stochastic control for financial risk management"
The aim of this project is to study new methods, models, and numerical techniques for the treatment of financial risk management problems, in particular counterparty credit risk (xVA) or the pricing of financial and insurance claims. Many problems in finance involve the minimization of a cost functional subject to controlled stochastic state variables. Controls or related quantities in high dimension can be conveniently approximated by means of artificial neural networks. The aim of the project is to study control problems and partial (integro) differential equations under general dynamics together with the development of new models for the evolution of risk factors, with a special focus on interest rates.
The candidate should have a solid background in probability, stochastic calculus and computational finance. Experience with the Java and/or Python programming languages and Machine Learning frameworks such as Tensorflow, Deep Java Library or Deeplearning4J is a plus.
Candidates will be evaluated based on their scientific quality and their potential in developing research. There are no teaching obligations and knowledge of Italian is not required.
The deadline for applications is the 19 March 2024 (h. 13.00). The link to the call is here
https://docs.univr.it/documenti/Concorso/bando/bando371360.pdf
The call is in Italian. Non-Italian speakers needing help with the form can contact me at alessandro [dot] gnoatto [at] univr [dot] it I am happy to help.
The Economics Department of the University of Verona has been recognized as "Department of Excellence" ("Dipartimento di Eccellenza") in the latest Italian Government Research Quality Evaluation Procedure.
The research group in quantitative and mathematical finance of the University of Verona offers a vibrant and young working environment. Members of the group:
- Alessandro Gnoatto (full professor)
- Cecilia Mancini (full professor)
- Cosimo-Andrea Munari (associate professor)
- Athena Picarelli (associate professor and local coordinator of the project)
- Andrea Mazzon (tenure-track assistant professor)
- Sara Svaluto-Ferro (tenure-track assistant professor)
- Jonathan Tam (post-doc)
We also run a dedicated PhD program on quantitative methods for economics and finance.
—
Prof. Alessandro Gnoatto
Presidente del CdLM "Banca e Finanza"
Dipartimento di Scienze Economiche
Università degli Studi di Verona
Via Cantarane 24
37129, Verona, Italy
Room 1.05
Tel: +39 045 802 8537
Homepage: www.alessandrognoatto.com<http://www.alessandrognoatto.com/>
E-mail: alessandro.gnoatto(a)univr.it<mailto:alessandro.gnoatto@univr.it>
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View my research on my SSRN Author page:
http://ssrn.com/author=1615989
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