Cari colleghi,
vi segnalo che il Dipartimento di Matematica dell'Università di Padova
ha bandito un posto di ricercatore di tipo B nel settore MAT/06.
Il bando è disponibile alla pagina
http://www.math.unipd.it/it/news/?id=1898
La scadenza per la presentazione delle domande è il 25 agosto 2016.
Marco Ferrante
_First Call for Papers_
*Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL
MANAGEMENT SCIENCE Conference
*
*7-9 July 2021, Venice, Italy*
The organizers are delighted to invite you to ECSO – CMS 2021 that will
be held in Venice, Italy, 7-9 July 2021, at the Department of Economics
- Ca’ Foscari University of Venice, in the San Giobbe Economics Campus.
/This is the rescheduled event for the Conference ECSO – CMS 2020,
suspended due to the COVID -19 pandemic emergency.…
[View More] We are planning to
organize the conference in presence in 2021./
ECSO - CMS 2021 is jointly organized by the Department of Economics of
Ca’ Foscari University of Venice, the CMS Journal and the EURO Working
Group on Stochastic Optimization.
ECSO 2021 is the 3rd edition of a stream of conferences organized by the
EURO Working Group on Stochastic Optimization (EWGSO). The previous
editions were held in Paris (2014) and Rome (2017). The scope of the
conference is to bring together researchers and professionals in
Stochastic Optimization and its applications in different fields spacing
from economics and finance to supply chain, logistics, etc.
CMS 2021 is the 17th edition of an annual meeting associated with the
journal of Computational Management Science published by Springer. The
aim of the conference is to provide a forum for theoreticians and
practitioners from academia and industry to exchange knowledge, ideas
and results in a broad range of topics relevant to the theory and
practice of computational methods in management science.
This joint event will provide a forum for fruitful discussions and
interactions among researchers and professionals from industry and
institutional sectors on decision making under uncertainty in a complex
world.The conference will be within the scopes of both CMS and EWGSO
and, in particular, it will focus on models, methods and computational
tools in stochastic, robust and distributionally robust optimization and
on computational aspects of management science with emphasis on risk
management, valuation problems, measurement applications. Traditional
fields of application, such as finance, energy, water management,
logistics, supply chain management, and emerging ones, such as
healthcare, climate risk and sustainable development, will be included.
VENUE: Department of Economics, Ca’ Foscari University of Venice
San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy
Webpage: www.unive.it/ecsocms2021 <http://www.unive.it/ecsocms2021>
Conference Secretariat: ecsocms2021(a)unive.it
Conference hashtag: #ecsocms2021
IMPORTANT DATES
Abstract submission: *March 31, 2021*
Notification of acceptance: *April 20, 2021*
Early registration: *April 30, 2021*
Conference: J*uly 7-9, 2021*
CONFIRMED INVITED SPEAKERS
DARINKA DENTCHEVA, Stevens Institute of Technology (USA)
DAVID MORTON, Northwestern University (USA)
GAH-YI BAN, University of Maryland (USA)
DANIEL KUHN, École polytechnique fédérale de Lausanne (CH)
GIORGIO CONSIGLI, Università di Bergamo (I)
A *prize for the student best paper* will be awarded. Papers should be
nominated via e-mail by the students’ supervisors
(ecsocms2021(a)unive.it). *Deadline for the submissions to the prize is
May 15.* The program will include a devoted session for presenting the
best papers to compete for the prize, such that the jury could make the
final choice. The paper does not have to be published. The papers should
be principally authored by the student, but co-authors are permitted as
long as their contributions are clarified. Only registered participants’
papers will be considered for the prize.
Jury for the Student Best Paper Prize: Stein-Erik Fleten (NTNU Norwegian
University of Science and Technology), Milos Kopa (Charles University of
Prague), Francesca Maggioni (University of Bergamo), Ruediger Schultz
(University Duisburg-Essen).
We are looking forward to seeing you in Venice.
Best Regards,
Diana Barro, Stein-Erik Fleten and Martina Nardon
Organizing and Program Committee Chairs
--------------------------------------
Dr. Martina Nardon
Dipartimento di Economia
Università Ca' Foscari Venezia
San Giobbe - Cannaregio, 873
30121 Venezia, Italy
tel. +39 041 234 7413
--------------------------------------
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Dear all,
This is a reminder for the: STAR Online Seminars.
The seminar will be held Friday 13. November from 11:00-12:00 . You will recieve the link for the Zoom room by registering for the seminar with the link provided at the end of this mail. The lecture will last for 45 minutes + questions.
This week's speaker is Rama Cont - University of Oxford, with the seminar: Excursion risk
Abstract: A broad class of dynamic trading strategies may be characterized in terms of excursions of …
[View More]the market price of a portfolio away from a reference level. We propose a mathematical framework for the risk analysis of such strategies, based on a description in terms of price excursions, first in a pathwise setting, without probabilistic assumptions, then in a probabilistic setting, when the price is modelled as a Markov process. We introduce the notion of δ-excursion, defined as a path which deviates by δ from a reference level before returning to this level. We show that every continuous path has a unique decomposition into such δ-excursions, which turn out to be useful for the scenario analysis of dynamic trading strategies, leading to simple expressions for the number of trades, realized profit, maximum loss and drawdown. When the underlying asset follows a Markov process, we combine these results with Ito's excursion theory to obtain a tractable decomposition of the process as a concatenation of independent δ-excursions, whose distribution is described in terms of Ito's excursion measure. We provide analytical results for linear diffusions and give new examples of stochastic processes for flexible and tractable modeling of excursions. Finally, we describe a non-parametric scenario simulation method for generating paths whose excursions match those observed in a data set. This is joint work with: Anna Ananova and RenYuan Xu.
After the end of the seminar, you are invited to bring a cup of coffee/tea and have a chat in our Coffee in the Stars here you will have the chance to talk and interact with the other persons that attended the seminar, and have a digital "coffee break".
We are looking forward to see you, online!
Best regards,
We are looking forward to see you, online!
Best regards,
Michele Giordano
Doctoral research fellow
Department of Mathematics
University of Oslo, Norway
-------------------------------------------------------------------------
Register for the seminar: https://nettskjema.no/a/159180
Link for the seminar webpage: https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…
[View Less]
(aggiungo che il sito del master è https://md2sl.imtlucca.it/)
-------- Messaggio Inoltrato --------
Oggetto: Borse di studio per Master Data Science and Statistical
Learning (MD2SL)
Data: Thu, 24 Dec 2020 10:03:30 +0100
Mittente: datascience(a)unifi.it
Organizzazione: Universita' degli Studi di Firenze
A: datascience(a)unifi.it
Cari tutti,
vi segnaliamo che è stato pubblicato il bando di selezione per il
conferimento di *due Borse di Studio* finalizzate all'iscrizione al
*Master …
[View More]di II livello in Data Science and Statistical Learning (MD2SL)*,
promosso dal Florence Center for Data Science, attraverso il
Dipartimento di Statistica, Informatica, Applicazioni (DISIA) "G.
Parenti" dell'Università degli Studi di Firenze, e dalla Scuola IMT Alti
Studi Lucca.
Il bando e ulteriori dettagli sono disponibili al seguente link:
https://www.disia.unifi.it/upload/sub/didattica/master/disia_Bando_Borse_Ma…
<https://www.disia.unifi.it/upload/sub/didattica/master/disia_Bando_Borse_Ma…>,
e sul sito del Florence Center for Data Science, tra le News:
https://datascience.unifi.it/index.php/news/
<https://datascience.unifi.it/index.php/news/>.
Scadenza per la presentazione delle domande: 14/01/2021 ore 13.00.
Vi chiediamo gentilmente di diffondere l'annuncio tra i potenziali
interessati.
Grazie,
Cordiali Saluti,
Florence Center for Data Science
[View Less]
Inoltro a tutti gli interessati il seguente annuncio (la posizione è quella
attualmente occupata da Wolfgang Woess).
********************************************************************************
Full professor "Discrete Mathematics and Probability", TU Graz
TU Graz is looking to appoint a tenured full professor of Discrete
Mathematics and Probability, starting October 2022. We are looking for a
highly qualified individual of international standing who has an excellent
research profile and …
[View More]is committed to represent the intersection of
Discrete Mathematics and Probability in both teaching and research.
For more information please see the web apge
https://www.tugraz.at/go/professorships-vacancies. Applications must be
sent to the email address bewerbungen.mpug(a)tugraz.at no later than March
31, 2021.
---------------------------------------------------------------------
Johannes Wallner Tel (+43) 316 873 8440
Institut fuer Geometrie der TU Graz,
Kopernikusgasse 24, 8010 Graz.
j.wallner(a)tugraz.at http://www.geometrie.tugraz.at/wallner
--------------------------------- ------------------------------------
[View Less]
WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Joint initiative with
MIDAS COMPLEX MODELING RESEARCH NETWORK <http://midas.mat.uc.cl/network>
Giovedi 17 Dicembre 2020, alle ore 17:00, si terrà il seguente webinar:
------------------------------------------------
Speaker: *David Rossell *(Universitat Pompeu Fabra, Barcelona, Spain)
Title: *Approximate Laplace approximation*
Zoom link:
…
[View More]https://us02web.zoom.us/j/84312531120?pwd=VVJraStLVkR2M0w0ZXZnU3M0MFp2UT09
<https://us02web.zoom.us/j/88252069649?pwd=V2Z3b1UrZVVWNWZ4OXhydUtIakxpUT09>
Meeting ID: 843 1253 1120
Passcode: 105560
Abstract:
Bayesian model selection requires an integration exercise in order to
assign posterior model probabilities to each candidate model. The
computation becomes cumbersome when the integral has no closed-form,
particularly when the sample size is large, or the number of models is
large. We present a simple yet powerful idea based on the Laplace
approximation (LA) to an integral. LA uses a quadratic Taylor expansion at
the mode of the integrand and is typically quite accurate, but requires
cumbersome likelihood evaluations (for large n) an optimization (for large
p). We propose the approximate Laplace approximation (ALA), which uses an
Taylor expansion at the null parameter value. ALA brings very significant
speed-ups by avoiding optimizations altogether, and evaluating likelihoods
via sufficient statistics. ALA is an approximate inference method equipped
with strong model selection properties in the family of non-linear GLMs,
attaining comparable rates to exact computation. When (inevitably) the
model is misspecified the ALA rates can actually be faster than for exact
computation, depending on the type of misspecification. We show examples in
non-linear Gaussian regression with non-local priors, for which no
closed-form integral exists, as well as non-linear logistic, Poisson and
survival regression.
------------------------------------------------
Il webinar è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
in collaborazione con il Collegio Carlo Alberto e rientra nel Complex Data
Modeling Research Network
midas.mat.uc.cl/network
Cordiali saluti,
Pierpaolo De Blasi
---
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
[View Less]
Dear colleagues,
I’d like to draw your attention to the following open positions (one PhD and one Post-Doc) in Berlin. Please, feel free to forward this announcement to anyone who might be interested.
"The Weierstrass Institute in Berlin (WIAS) invites applications for a two positions, one at post-doctoral level and one for a PhD student. Both positions are in the newly founded Leibniz Junior Research Group “Probabilistic Methods for Dynamic Communication Networks” (Head: Dr. B. Jahnel); the …
[View More]positions are available immediately.
The successful candidates will perform rigorous probabilistic and analytic mathematical work on dynamical spatial random geometric systems as models for future telecommunication networks, in collaboration with other group members and partners at WIAS, in industry and in academia. The research results shall be published in scientific journals and technical reports, and presented at conferences.
The applicants must at a minimum hold a master’s degree in mathematics or related fields with high emphasis on probability. For the post-doctoral position a PhD in mathematics should be completed or very close to completion. Knowledge in statistical physics, interacting particle systems, or stochastic geometry will be important.
Please direct scientific queries to Dr. B. Jahnel (Jahnel(a)wias-berlin.de <mailto:Jahnel@wias-berlin.de>).
The appointment is initially limited for 24 months. The work schedule is 39 hours per week, and the salary is according to the German TVoeD scale.
Please see the following links for more information and in order to apply: https://short.sg/j/8332092 <https://short.sg/j/8332092> (post-doc) and https://short.sg/j/8331747 <https://short.sg/j/8331747> (PhD).
Please note that the deadline for applications is 31 December.”
Best wishes,
Luisa Andreis
Post-Doc researcher
WIAS-Weierstrass Institute
Mohrenstrasse 39, 10117 Berlin, Germany
Personal webpage: https://sites.google.com/view/luisaandreis/home <https://sites.google.com/view/luisaandreis/home>
Email: andreis(a)wias-berlin.de
[View Less]
Segnalo con piacere questa opportunità di postdoc a Bath.
Vittoria
---------- Forwarded message ---------
Da: Daniel Kious <dk746(a)bath.ac.uk>
Date: lun 14 dic 2020 alle ore 23:11
Subject: Postdoctoral position in Probability at the University of Bath
To: d.kious(a)bath.ac.uk <
IMCEAEMAIL-+20d+2Ekious+40bath+2Eac+2Euk(a)gbrp265.prod.outlook.com>
Dear Colleagues and Friends,
I would greatly appreciate if you could bring the following announcement to
the attention of the relevant …
[View More]applicants.
A postdoctoral position in Probability is open at the University of Bath.
The position is for two years, starting 1 July 2021, and the successful
applicant will work with Dr Daniel Kious, on topics related to random walks
and random environments. Please, find the full announcement at the end of
this email.
Applications are open and the deadline is 11 January 2021, see:
https://www.bath.ac.uk/jobs/CC8004
In order to have the best chances, the applicants should provide the
following:
-an updated CV;
-a list of publications;
-a short research statement;
-the names of two referees who agreed to write a letter of support, and one
of them must be the current employer or a past employer.
Best wishes,
Daniel Kious.
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-
A postdoctoral research position is available in the area of probability to
start 1 July 2021. The position is available for 2 years and is funded by
the EPSRC grant "Random walks in dynamic random environment" of Daniel
Kious.
You will be associated with the probability laboratory (Prob-L@B
<https://www.bath.ac.uk/research-centres/probability-laboratory-at-bath/>)
of the Department of Mathematical Sciences
<https://www.bath.ac.uk/departments/department-of-mathematical-sciences/>
at the University of Bath. Prob-L@B is one of the largest probability group
in the UK and benefits from a very active and collaborative team, with
expertise covering many areas of Probability, cultivating a high-level and
friendly atmosphere. The successful applicant will be expected not only to
work on the project, but also to interact with the other members of
Prob-L@B.
The area of research will be centred on the mathematical analysis of random
walks in random environment or dynamic random environment, reinforced
random walks or other processes with reinforcement, percolation, spin
systems.
The ideal candidate is expected to have a strong background in discrete
probability theory, and have (or expect to obtain shortly) a PhD in
Probability, or related areas.
Our campus is surrounded by beautiful countryside, and the City of Bath
with its historic charm and social activity only a short distance away
creates an excellent environment in which to work. We encourage all staff
to learn, develop new skills and progress their careers throughout their
employment with us and believe our staff
<https://www.bath.ac.uk/jobs/display.aspx?id=1091&pid=221#section3> are
vital in creating the University’s inclusive and innovative community. We
are committed to providing a family friendly workplace
<https://www.bath.ac.uk/campaigns/family-friendly-workplace/> and our staff
have access to a number of services that promote wellbeing
<https://www.bath.ac.uk/topics/wellbeing/> and improve work-life balance.
We recognise the commitment, achievements and talents of our workforce
through our offering of initiatives and benefits
<https://www.bath.ac.uk/professional-services/pay-and-reward>, including
(but not limited to):
- Generous employer pension contributions
- 39 days holiday (annual leave, discretionary days and bank holidays)
- A flexible working environment
- A commitment to personal and professional development
- Ofsted outstanding rated onsite nursery
- Salary exchange scheme (cycle to work)
- Onsite private and NHS dentist, onsite medical centre
- Employee discount scheme
We aim to be an inclusive university, where *difference is celebrated*,
respected and encouraged. We truly believe that diversity of experience,
perspectives, and backgrounds leads to a better environment for our
employees and students, creating a learning environment and
organisational *culture
that enhances **health and wellbeing*
<https://www.bath.ac.uk/topics/wellbeing/> across our community. We are
very proud to have recently received Ambassadors for Autism certification
<https://www.bath.ac.uk/announcements/university-receives-ambassadors-for-au…>
and are an accredited Disability Confident Leader; committed to building
disability confidence and supporting disabled staff
<http://www.bath.ac.uk/hr/working/disability-support/index.html>.
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-
Dr Daniel Kious
University of Bath - Prob-L@b
email: d.kious(a)bath.ac.uk
Office: 6 West 1.23
Phone: 01225 38 6186
********************************
Vittoria Silvestri
Assistant Professor
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
********************************
[View Less]
---------- Forwarded message ----------
Date: Mon, 14 Dec 2020 00:41:25 +0100
From: Pelizzari Cristian <cristian.pelizzari(a)unibs.it>
To: Tiziano Vargiolu <vargiolu(a)math.unipd.it>
Subject: Webinar of Prof. Hinz at UNIBS, Department of Economics and Management
Ciao Tiziano,
ti chiedo la cortesia di diffondere questo avviso di seminario ai tuoi
canali. Ho gi? spedito questa e-mail al Segretario Generale dell'A.M.A.S.E.S..
Mi scuso per la scadenza ravvicinata.
Grazie e a presto,…
[View More]
Cristian
***
Dear Colleagues,
on December 17th, 2020 - 11:30 (CET),
as part of the Research Seminars at the Department of Economics and
Management, University of Brescia, the following webinar will take place:
On Optimal Planning of Double-Spending Attacks
presented by Prof. Juri Hinz, University of Technology Sydney, and organized
by Prof. Paolo Falbo and Prof. Cristian Pelizzari
Abstract
Diverse concepts originating from the blockchain idea have gained
popularity. However, there is concern about stability of such systems. In
this setting, an attempt to spend the digital funds more than once (the
so-called double-spending attack) has been analyzed by several authors. The
present contribution addresses a refinement to this problem under realistic
assumptions.
Live presentation on: Google Meet.
To participate, registration is required by filling out the following form:
https://docs.google.com/forms/d/e/1FAIpQLSd3_vL6Rzi7rNf7FiburuLBjC1cc32oA4U
SHdQDaivS9_cB5w/viewform
Subscribers will be e-mailed the link to the webinar meeting.
***
--
Associate Professor of Mathematical Methods
of Economics, Finance and Actuarial Sciences
Department of Economics and Management
University of Brescia
Contrada S. Chiara, 50
25122 BRESCIA BS
ITALY
E-mail cristian.pelizzari(a)unibs.it
Tel. 0039-030-2988516
Microsoft Teams contact
Informativa sulla Privacy: http://www.unibs.it/node/8155
[View Less]
Forwardo anche questo con piacere...
GPST
> Begin forwarded message:
>
> From: Arnoldo Frigessi <arnoldo.frigessi(a)medisin.uio.no>
> Subject: Two-year Postdoc in Statistics for COVID-19 modelling, Oslo, Norway
> Date: 13 December 2020 at 22.15 GMT+1
> To: DipIMAP <scaliato(a)axp.mat.uniroma2.it>
>
> Two-year Postdoctoral Position in Statistics for COVID-19 modelling, Oslo, Norway
>
> The postdoc will develop new statistical methodology and models …
[View More]to describe and predict the dynamics of the COVID-19 pandemics in Norway and across the Nordic countries. This is part of a new exciting Nordic collaboration project financed by NordForsk with Tom Britton, Stockholm University, Arnoldo Frigessi, Oslo University and Lasse Leskelä, Alto University as co-PIs. If you are selected as postdoc, you will work in close collaboration with the three Nordic teams. We will work on the covid-19 dynamics in space and type, also across the Nordic borders; we will exploit human mobility data in real time described by telecom mobility data; develop methods for probabilistic short term prediction; evaluate and compare alternative interventions. The project has unique access to COVID-19 data streams. There is a possibility to extend the period for an additional year. You can find some more information here: https://nordicmathcovid.cs.aalto.fi
>
> The postdoc will be employed at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo. You have a strong competence in statistical modelling and inference and have excellent skills in coding.
>
> This is a unique project, with multiple opportunities also to develop your own research themes, building your curriculum towards a tenure track/permanent position in a leading university.
>
> To apply, and for more details on the positions, see here: https://www.jobbnorge.no/en/available-jobs/job/196535/2-year-postdoctoral-p…
>
> Deadline: 11th January 2021
>
> We offer
> * Salary up to 55.000 Euro per annum depending on qualifications.
> * A career development programme designed for researchers at the beginning of their career.
> * Health insurance and very attractive "Scandinavian" welfare benefits.
> * A generous pension agreement.
> * Oslo's family-friendly environment with its rich opportunities for culture and outdoor activities.
>
> Arnoldo Frigessi
[View Less]
Dear all,
This is a reminder for the: STAR Online Seminars.
-
The seminar will be held Friday 18. December from 11:00-12:00 . You will recieve the link for the Zoom room by registering for the seminar with the link provided at the end of this mail. The lecture will last for 45 minutes + questions.
This week's speaker is Federica Masiero - Università degli Studi di Milano-Bicocca, with the seminar:
Regularizing properties and HJB equations for stochastic problems with delay
Abstract: In …
[View More]this talk we consider stochastic differential equations with delay. It is well known that the Ornstein-Uhlenbeck transition semigroup doesn’t have regularizing properties, such as the strong Feller property. So in general, the associated Hamilton-Jacobi-Bellman (HJB) equation cannot be solved in mild sense by a classical fixed point argument. We present a result of existence of regular solutions for the HJB equations related to a stochastic controlled equation with delay in the control and in the case when, as it often occurs in applications, the objective function depends only on the “present” of the state and control variable. The result is based on partial regularization results for the associated Ornstein-Uhlenbeck semigroup. In analogy, we investigate partial reularizing properties in the case of delay in the state and with a special dependence on the past trajectory, and we solve in mild sense the associated HJB equation and the stochastic controlled problem related. The talk is mainly based on joint works with F. Gozzi and G. Tessitore.
After the end of the seminar, you are invited to bring a cup of coffee/tea and have a chat in our Coffee in the Stars here you will have the chance to talk and interact with the other persons that attended the seminar, and have a digital "coffee break".
We are looking forward to see you, online!
Best regards,
Michele Giordano
Doctoral research fellow
Department of Mathematics
University of Oslo, Norway
-------------------------------------------------------------------------
Register for the seminar: https://nettskjema.no/a/159180
Link for the seminar webpage: https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…
[View Less]
Forwardo volentieri...
Gianpaolo Scalia Tomba
Begin forwarded message:
From: Arnoldo Frigessi <arnoldo.frigessi(a)medisin.uio.no>
Subject: Two 3-year postdocs in statistics and mathematics for personalised breast cancer therapy, University of Oslo, Norway
Date: 4 December 2020 at 11.41 GMT+1
To: DipIMAP <scaliato(a)axp.mat.uniroma2.it>
-----Original Message-----
Are you interested in developing new mathematical, statistical or computational …
[View More]models and methods to determine the best personalised treatment for each breast cancer patient?
Applications are invited for two postdoc positions of 3 years each at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo. Ideally we wish to hire one postdoc with a strong competence in mathematical modelling and numerical analysis and one postdoc with a strong competence in statistical modelling, inference and computational statistics.
The two postdocs will play a key scientific role in our two cross-disciplinary international projects funded by the European Union Horizon 2020 and EraCoSysMed. The project team includes experts in statistical and mathematical modelling of cancer, in molecular biology, genomics and clinical oncology. The project has access to unique data, including clinical, imaging and high-throughput genomic data from breast cancer patients recruited in concluded clinical trials. You find more information on the project here: www.rescuer.uio.no
To apply, and for more details on the positions, see here: https://www.jobbnorge.no/en/available-jobs/job/196515/two-3-year-postdoctor…
Deadline: 11th January 2021
We offer
* Salary up to 55.000 Euro per annum depending on qualifications.
* A career development programme designed for researchers at the beginning of their career.
* Possibility to make teaching and consulting experiences, if wished so
* Health insurance and very attractive "Scandinavian" welfare benefits.
* A generous pension agreement.
* Oslo's family-friendly environment with its rich opportunities for culture and outdoor activities.
----------
Arnoldo Frigessi
professor
University of Oslo
Oslo University Hospital
Norway
Oslo Centre for Biostatistics and Epidemiology University of Oslo and Oslo University Hospital Director http://www.med.uio.no/imb/english/research/centres/ocbe/
BigInsight
Centre for research based Innovation
Director
http://www.biginsight.no
contact: +4795735574
http://www.med.uio.no/imb/english/people/aca/frigessi/ <http://www.med.uio.no/imb/english/people/aca/frigessi/>
[View Less]
Giovedì 10 Dicembre, ore 17:00 on-line
Antonello Pesce terrà un seminario dal titolo
A Kolmogorov PDE with non-linear drift: analysis and applications
to stochastic filtering
Le istruzioni per partecipare al link
https://www.dm.unibo.it/seminari/
--
---------------------------------------------------------------
Andrea Pascucci andrea.pascucci(a)unibo.it
Dipartimento di Matematica
P.zza di Porta S. Donato, 5 40126 Bologna - Italy
…
[View More]Office Tel. +39-0512094428 Fax +39 0510821834
https://sites.google.com/view/andrea-pascucci/
Skype: andrea.pascucci
https://www.mendeley.com/profiles/andrea-pascucci3/
Get DropBox here: http://db.tt/Y2GN2TCx
---------------------------------------------------------------
[View Less]
Dear colleagues,
I would like to announce the following online seminar organized by the Probability group of the University of Pisa. The talk will be accessible under the link
Click here to join the meeting<https://teams.microsoft.com/l/meetup-join/19%3A17115d7f6ef44c5e91974362906c…>
Best regards,
Giacomo
Tuesday, Dec. 15, 14:00
Speaker: Jie-Xiang Zhu (Fudan University / Université de Toulouse)
Title: On optimal matching problem for Gaussian samples with dimension d ≥ 3
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[View More]Abstract: Optimal matching problems are very classical in computer
science, physics and mathematics.
In this talk, we will discuss the related rates of convergence of
empirical measures associated with n independent random points,
whose common distribution is the normal Gaussian distribution in
Euclidean space with dimension d ≥ 3.
Our method is based on the PDE and mass transportation approach
developed by L. Ambrosio, F. Stra and D. Trevisan.
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Giacomo Di Gesù
Dipartimento di Matematica
Università di Pisa
Largo Bruno Pontecorvo 5
56127 - Pisa, Italy
giacomo.digesu(a)unipi.it
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|Dear colleagues,
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LTI@UniTO (www.carloalberto.org/lti <www.carloalberto.org/lti>) and
Collegio Carlo Alberto are pleased to invite you to the following
webinar in Finance:
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“Equilibrium Bid-Price Dispersion”
Speaker: Albert Menkveld (VU Amsterdam),
_https://albertjmenkveld.com/about/ <https://albertjmenkveld.com/about/>
_
Abstract: If bidding in a common-value auction is costly and if bidders
do not know how many others are also bidding, all …
[View More]equilibria are in
mixed strategies. Participation is probabilistic and bid prices are
dispersed. The symmetric equilibrium is unique and yields simple
analytic expressions. We use them to, for example, show that bid prices
exhibit negative skewness. The expressions are further used to estimate
the model based on bidding on an S&P500 security. We find that the
number of bidders declined over time, making liquidity supply fragile.
You can join the webinar via zoom at the following link:
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https://us02web.zoom.us/j/81439851376?pwd=YUFsWXFvNldTaEMrTW55VE5kaXJiQT09
<https://us02web.zoom.us/j/81439851376?pwd=YUFsWXFvNldTaEMrTW55VE5kaXJiQT09>
Meeting ID: 814 3985 1376 Passcode: 753282
Best regards,
Luca Regis
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Luca Regis
Associate Professor
Department of Economics and Statistics (ESOMAS)
University of Torino
sites.google.com/view/lucaregis
Office: +39 011 670 6065
www.carloalberto.org/lti
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Avviso di Seminario
Speaker: Michele Salvi (Università di Roma Tor Vergata)
Orario: Lunedì 14 dicembre, ore 13
Titolo: Scale-free percolation in continuous space
Link al collegamento su Teams:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_MWI2ZWY1N2QtMTQ3Zi00…
Abstract: The scale-free percolation random graph features three
fundamental
properties that are often present in large real-world structures
(social networks, communication networks, inter-banking systems and so
on), …
[View More]but which are never present at once in classical models: (1)
Scale-free: the degree of the nodes follows a power law; (2)
Small-world: two nodes are typically at a very small graph distance;
(3) Positive clustering coefficient: two nodes with a common neighbour
have a good chance to be linked. We study a continuous version of
scale-free percolation and its possible application to the statistical
analysis of a dataset provided by the French Ministry of Agriculture.
We discuss some stochastic processes (random walks and particle
systems) on this kind of structures with the final goal of
understanding how an epidemic would spread.
Il seminario rientra tra le attività del Progetto di eccellenza MIUR
2018-2022 Math@Tov.
Grazie per l'attenzione, Domenico Marinucci
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Domenico Marinucci
Dipartimento di Matematica
Università di Roma Tor Vergata
https://www.mat.uniroma2.it/~marinucc/
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Dear Colleagues,
We would like to invite you to the following Probability seminar
that will take place on December 18 at 11.30 by the zoom platform.
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Speaker: Gianmarco Bet (Università di Firenze)
Title: Detecting anomalies in complex networks
18 DECEMBER (Friday) - 11:30 zoom link: TBA
(available on the webpage https://www.math.unipd.it/~bianchi/seminari/ )
Abstract: Recently there has been an increasing interest in the …
[View More]development
of statistical techniques and algorithms that exploit the structure of
large complex-network data to analyze networks more efficiently. For this
talk, I will focus on detection problems. In this context, the goal is to
detect the presence of some sort of anomaly in the network, and possibly
even identify the nodes/edges responsible. Our work is inspired by the
problem of detecting so-called botnets. Examples are fake user profiles in
a social network or servers infected by a computer virus on the internet.
Typically a botnet represents a potentially malicious anomaly in the
network, and thus it is of great practical interest to detect its presence
and, when detected, to identify the corresponding vertices.
Accordingly, numerous empirical studies have analyzed botnet detection
problems and techniques. However, theoretical models and algorithmic
guarantees are missing so far.
We introduce a simplified model for a botnet, and approach the detection
problem from a statistical perspective. More precisely, under the null
hypothesis we model the network as a sample from a geometric random graph,
whereas under the alternative hypothesis there are a few botnet vertices
that ignore the underlying geometry and simply connect to other vertices in
an independent fashion. We present two statistical tests to detect the
presence of these botnets, and we show that they are asymptotically
powerful, i.e., they correctly distinguish the null and the alternative
with probability tending to one as the number of vertices increases. We
also propose a method to identify the botnet vertices. We will argue, using
numerical simulations, that our tests perform well for finite networks,
even when the underlying graph model is slightly perturbed. Our work is not
limited in scope to botnet detection, and in fact is relevant whenever the
nature of the anomaly to be detected is a change in the underlying
connection criteria.
Based on joint work with Kay Bogerd (TU/e), Rui Pires da Silva Castro
(TU/e) and Remco van der Hofstad (TU/e).
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Alessandra Bianchi
Dip. di Matematica
Università di Padova
Via Trieste, 63 - 35121 Padova, Italy
phone: +39 049 827 14 06
fax: +39 049 827 14 28
e-mail: bianchi(a)math.unipd.it
http://www.math.unipd.it/~bianchi/
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