Cari tutti,
con preghiera di diffusione, inoltro l'annuncio relativo al bando (allegato) per l'ammissione al PhD in Statistics and Computer Science presso l'Università Bocconi, per l'a.a. 2020-2021.
La scadenza per la presentazione delle domande è il 3 Febbario 2020.
Saluti,
AL
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PhD in Statistics and Computer Science - a.y. 2020-2021
Call for applications for PhD student positions
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The Bocconi PhD School provides 7 scholarships for the PhD in Statistics and Computer Science, and a position with tuition waiver.
* Scholarship amount *
20.280 euro per annum in the 1st and 2nd year
15.343 euro per annum in the 3rd and 4th year
Further funding is available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd<http://www.unibocconi.eu/admissionphd> for detailed information.
** Applications are due by February 3, 2020 **
Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds.
The curriculum is structured into two tracks: Statistics and Computer science. The first year includes courses that are compulsory for all enrolled PhD students. The second-year features track-specific and elective courses that provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation.
Dedicated mentorship is offered to students throughout their time at Bocconi. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are also encouraged.
Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission.
Applicants should hold or be on their way to hold a graduate degree or equivalent.
For further information about the PhD program in Statistics and Computer Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience<http://www.unibocconi.eu/phdstatscompscience> and feel free to contact:
Antonio Lijoi (antonio.lijoi(a)unibocconi.it<mailto:antonio.lijoi@unibocconi.it>)
Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it<mailto:angela.baldassarre@unibocconi.it>)
Antonio Lijoi
Director, PhD program in Statistics and Computer Science
Bocconi University
http://mypage.unibocconi.it/antoniolijoi
Call for applications for a PhD position in TU Eindhoven (Netherlands)
Applications are invited for a PhD position at TU Eindhoven (TU/e), under the supervision of Alberto Chiarini, who will be based at TU/e from January 2020 onwards. Chiarini's appointment at Eindhoven is part of a larger collaboration between the Analysis and Stochastics groups of the Department of Mathematics and Computer Science, and the PhD student will benefit from being embedded in both groups.
The subject of the PhD project will be decided together with the student, and will be chosen from a range of topics on the interface between probability theory and analysis, including Gaussian free fields, particle systems, large deviations, and partial differential equations.
Ideally, applicants have a sound training in probability theory (including stochastic processes and stochastic differential equations), analysis (including partial differential equations and functional analysis), and measure theory. Students with deficiencies in one of these areas but who are strong in others are nonetheless urged to apply.
PhD positions at TU/e are salaried, fixed-term, four-year positions; the salary increases during the four years from approximately 30.000 to 50.000 euros, before tax. In addition, TU/e offers a wide range of secondary benefits.
More information can be found by contacting Alberto Chiarini at
chiarini(a)math.ucla.edu
Applicants are encouraged to send their applications as early as possible; the position will be filled as soon as a suitable candidate is found.
Personal webpage: https://www.math.ucla.edu/~chiarini/
Regards,
UCLA Mathematics Department
MS 6617F
520 Portola Plaza
90095 Los Angeles
California, USA
Panayotis Mertikopoulos, CNRS Grenoble
No-Regret Learning in Games
Luiss
Viale Romania, 32
Room 403
Friday 25 October, h 12:00
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Marco Scarsini
Dipartimento di Economia e Finanza
Luiss
Viale Romania 32
00197 Roma, ITALY
URL: http://docenti.luiss.it/scarsini/
Michele Salvi, Université Paris Diderot
Scale-Free Percolation as a Model for the Cattle Trading Network in France
Luiss
Viale Romania, 32
Room 207,
Thursday 24 October, h 12:00
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Marco Scarsini
Dipartimento di Economia e Finanza
Luiss
Viale Romania 32
00197 Roma, ITALY
URL: http://docenti.luiss.it/scarsini/
Dear All,
we are glad to announce the fifth edition of the Energy Finance
Italia Workshop - EFI5, which will be held in Rome, University of Roma
Tre, next February 10-11, 2020.
We will shortly be publishing the CfP with details on the website
of the EFI Association
http://energyfinanceitalia.unicam.it/
There you will find the information about the EFI Association and the
previous editions of the workshop.
Best regards
Loretta Mastroeni
Tiziano Vargiolu
We announce the following DEC Statistics seminar:
Thursday, October 24
12:30 Meeting room 3-e4-sr03,
Bocconi University, Via Roentgen 1, 3rd floor
Annalisa Cadonna (Wirtschaftsuniversität Wien)
Title: Hierarchical shrinkage in time-varying parameter models through the Triple Gamma prior
Abstract: Time varying parameter (TVP) models are widely used in time series analysis, because of their flexibility and ability to capture gradual changes in the evolution dynamics of the model variables. The popularity of TVP state-space models in macroeconomics and finance is based on the evidence that, in most applications, the influence of certain predictors on the outcome variables varies over time. The risk of overfitting in TVP models is a well know issue, which increases with the dimension of the problem at hand, as only a small subset of the predictors might actually have a dynamic influence on the output variables. Hence, in the last decade, there has been a growing need for models and methods able to discriminate between time varying and static parameters in TVP models or, in other words, perform variance selection. We propose a new global local shrinkage prior for shrinkage of variances in TVP models, referred to as the Triple Gamma prior. The Triple Gamma prior extends to variance selection the Normal-Gamma-Gamma prior introduced in Griffin and Brown (2017) in the context of highly structured regression models. The Triple Gamma prior accommodates, as special or limit cases, the Bayesian Lasso, the Double Gamma prior, and the popular Horseshoe prior. Interesting properties of the triple gamma prior are outlined and an efficient Markov Chain Monte Carlo algorithm is developed. An extended simulation study is conducted and the proposed modeling approach is applied to real data, both in a univariate and a multivariate framework. The predictive performance of different shrinkage priors is compared in terms of log predictive density scores.
Kind regards,
Giacomo Zanella
The DEC statistics seminars schedule is available at http://www.unibocconi.eu/statseminar
Please note: if you are a guest and you do not have a Bocconi ID Card to access to the Bocconi Buildings, please communicate your participation by sending an email to arianna.colombo(a)unibocconi.it
*SECOND CALL FOR CONTRIBUTIONS*
*MAF 2020 - 9th International Conference MATHEMATICAL AND STATISTICAL
METHODS FOR ACTUARIAL SCIENCES AND FINANCE*
*April 15-17, 2020 - Geneve (CH)*
*https://www.unige.ch/maf2020/ <https://www.unige.ch/maf2020/>*
* The Steering Committee is delighted to announce the 9th International
Conference *MAF 2020*.
* *MAF 2020* promotes interaction between *mathematicians* and
*statisticians* in *actuarial sciences* and *finance*.
* *MAF 2020* is open to *academicians* and to *professionals*, to encourage
cooperation.
* *MAF 2020* covers a *wide variety of subjects* in actuarial science and
financial fields.
* *MAF 2020* will be held at the *Université de Genève*, in *April 15-17*,
*2020*.
* *We invite submission of original contributions*.
* *Important dates*:
- Submission of 1-page abstracts: by November 22nd, 2019.
- Notification of 1-page abstract acceptance: by December 13th, 2019.
- Organized session proposals: by October 25th, 2019.
- Notification of organized session acceptance: by November 8th, 2019.
- Submission of short papers (facultative): by December 13th, 2019.
- Notification of short paper acceptance: by December 30th, 2019.
- Early bird registration: by December 20th, 2019.
*The accepted short papers, at least 4 pages and at most 6 pages, will be
included in a Springer Volume.
* *Keynote speakers*
- *Michael O'Neill*, Centre for Business Analytics, University College
Dublin;
- *Jaap Spronk*, Erasmus School of Economics (NEH) & Rotterdam School of
Management
- *Howell Tong*, London School of Economics and Political Science
Apologies for cross-posting.
The warmest regards,
Marco CORAZZA | Ca'Foscari University of Venice (I) [Behalf of the Steering
Committee]
Manfred GILLI | University of Geneve (CH)
Cira PERNA | University of Salerno (I)
Claudio PIZZI | Ca'Foscari University of Venice (I)
Marilena SIBILLO | University of Salerno (I)
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Nota automatica aggiunta dal sistema di posta.
A postdoc search from Johanna Ziegel (University of Bern):
The Institute of Mathematical Statistics and Actuarial Sciences invites
applications for the following position opening February 1, 2020.
POSTDOC (80-100%)
Oeschger Centre, University of Bern
Compound weather and climate events refer to multiple climate events that
potentially cause large societal impacts. The analysis and prediction of
compound events pose substantial challenges from a statistical perspective.
The prospective PostDoc will work at the interface of the development of
statistical methods and their application to current topics of high
interest in climate and weather applications. Potential topics include the
evaluation of predictions for (joint) extreme events, the evaluation of
multivariate or spatial predictions, and the calibration (or
``bias-correction'') of multivariate predictions.
The PostDoc will be a part of the group of Prof. Dr. Johanna F. Ziegel
(Institute of Mathematical Statistics and Actuarial Science). Close
collaboration is planned with the group of Dr. Jakob Zscheischler (Physics
Institute), and with the group of Prof. Dr. Olivia Romppainen-Martius
(Institute of Geography).
The position is ideally suited for a young researcher in statistics to
become an expert in statistics for climate science and weather
applications.
Profile of the candidate
The successful candidate holds a PhD in Statistics and has a strong
interest in climate and weather applications, or he/she holds a PhD in
Climate Science with a solid background in statistics. She/he has excellent
programming and data handling skills, and a keen interest in
interdisciplinary research. The candidate is proficient in English, both
written and spoken.
Details
- Type of appointment: Full time or part time (80-100%) fixed term
appointment for 2 years with the possibility of a 1 year extension after a
positive evaluation.
- Starting date: February 1, 2020 or upon agreement
- Employment conditions and remuneration in accordance with the standards
of the University of Bern, Switzerland.
For further information please contact Prof. Dr. Johanna F. Ziegel (
johanna.ziegel(a)stat.unibe.ch).
Applications
All applications received before January 1, 2020 will be reviewed, and
further applications will be considered until the position is filled.
Please send your application documents including a CV, a motivation letter,
and contact information for 3 references by e-mail to office(a)stat.unibe.ch.
Homepage
http://www.oeschger.unibe.ch/http://www.stat.unibe.ch
Ho il piacere di annunciare il seguente Colloquium del Dipartimento di Matematica e Applicazioni, Università di Milano-Bicocca, congiuntamente con il Seminario Matematico e Fisico di Milano.
Il giorno lunedì 28 ottobre 2019, alle ore 16:00, Lorenzo Zambotti (Sorbonne Université, Paris) terrà un colloquium dal titolo
"Regularity structures: from physics to probability, from analysis to algebra, from combinatorics to geometry"
Il seminario si terrà nell'aula 3014 (edificio U5, terzo piano, via Cozzi 55, Milano) e sarà seguito da un rinfresco.
Segue l'abstract. Tutti gli interessati sono invitati a partecipare.
Francesco Caravenna
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Abstract: In this talk I wish to present some of the ideas at the heart of the theory of regularity structures (RS), introduced by Martin Hairer in 2014. RS are perhaps best described as a theory of Taylor expansions in a fractal (random) setting. I plan to show how this theory is based on a fascinating interplay between several different disciplines, as announced by my title.
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Francesco Caravenna
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca
Via Cozzi 55, 20125 Milano, Italy
http://www.matapp.unimib.it/~fcaraven/
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