Random October 2015

random@lists.dm.unipi.it

23 participants
34 discussions

Start a nNew thread

Fwd: Positions in EU project
by Marco Romito 14 Oct '15

14 Oct '15

1 0

Politecnico di Milano - Seminario Bill Sudderth
by Laura M. Sangalli 13 Oct '15

13 Oct '15

Si avvisa che in data 16-10-2015, alle ore 14:30 precise, presso l'Aula Seminari "F. Saleri" VI piano - Dipartimento di Matematica, Politecnico di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente seminario: Relatore: Bill Sudderth School of Statistics, University of Minnesota Titolo: How to Control a Process to a Goal Abstract: Suppose that you have a fortune of $10 and seek to reach $100 by placing bets at xed odds on repetitions of a given event such as the appearance of red (or black) on each spin of a roulette wheel. What is the best strategy for you to reach your goal? What strategy will get you there in the least expected time? What if you are competing with another player? I will discuss these and related problems in both discrete and continuous time. Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Laura Sangalli -- Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

1 0

Half day in stochastic processes
by Paolo Dai Pra 12 Oct '15

12 Oct '15

Half day in stochastic processes Venerdì 16 Ottobre, presso la Sala Riunioni del VII piano del Dipartimento di Matematica dell’Università di Padova, si svolgeranno i seguenti seminari. 9:15 Eva Locherbach (Université de Cergy-Pontoise). On oscillating systems of interacting neurons 9:55 Vlad Bally (Université de Marne-la-Vallée). Convergence in distribution norms in the CLT 10:35: Francois Delarue (Université Nice-Sophia Antipolis). Restoring uniqueness in mean-field games by randomization of the equilibria 11:15 - 11:30 Break 11:30. Paolo Pigato (Università di Padova e Université de Marne-la-Vallée). Tube Estimates for Hypoelliptic Diffusions and Scaling Properties of Stochastic Volatility Models (Ph.D. Defense) Paolo Dai Pra Dipartimento di Matematica Via Trieste, 63 35121 Padova Tel. +39 0498271361 Fax +39 0498271428 daipra(a)math.unipd.it

1 0

RINVIATO: Seminario Dr. Cosetta Minelli - Mendelian Randomisation - 12 ottobre 2015
by Alessandro Marcon 10 Oct '15

10 Oct '15

Gentilissimi/e, vi avviso che il seminario in oggetto è stato rimandato a data da destinarsi, a causa del grave lutto che ha colpito la nostra Sezione. Il Prof. Roberto de Marco, ordinario di Statistica presso la scuola di Medicina e Chirurgia, Università di Verona, ci ha lasciati ieri mattina. Tutti noi, orgogliosi di essere stati suoi allievi, vi diamo questo annuncio con profondo dolore. L'ultimo saluto verrà dato presso le celle dell'ospedale di Borgo Roma (Verona) lunedì 12 ottobre dalle ore 13.30 alle ore 14.30. Alessandro Marcon Alessandro Marcon, PhD Unit of Epidemiology & Medical Statistics Department of Diagnostics and Public Health University of Verona Strada Le Grazie 8, 37134 Verona, Italy tel. +39 045 8027668 2015-09-11 12:15 GMT+02:00 Alessandro Marcon <alessandro.marcon(a)gmail.com>: > > Gentilissimi/e, > vi invio un avviso di seminario, con preghiera di massima diffusione. > > Sede del seminario: Istituti Biologici 2, Università di Verona, strada Le > Grazie 8 (VERONA). > > > Distinti saluti, > Alessandro Marcon > > Alessandro Marcon, PhD > Unit of Epidemiology & Medical Statistics > Department of Diagnostics and Public Health > University of Verona > Strada Le Grazie 8, 37134 Verona, Italy > tel. +39 045 8027668 > > > > Avviso di SEMINARIO > > > > Lunedì 12 ottobre 2015 ore 11.00-11.45 > > Aula Igiene & Statistica > > (Istituti Biologici 2, blocco B, secondo piano) > > > > Dr. Cosetta Minelli > > Senior Lecturer in Medical Statistics, National Heart and Lung Institute, > Imperial College London > > > > *Mendelian randomization: * > > *The use of genes as instruments to strengthen causal inference in > epidemiology* > > Mendelian randomization is an approach that uses genes as instrumental > variables to derive unconfounded estimates of the effects of risk factors > (e.g. biomarkers) on disease traits, and is therefore increasingly being > used in epidemiology to distinguish causal from spurious associations. > Since genes are randomly allocated at conception, genetic effects on a > biomarker cannot be affected by classical confounding (e.g. lifestyle > factors) or reverse causation (e.g. biomarker level being influenced by the > presence of disease). Demonstration that a genetic variant known to modify > the biomarker also modifies the disease trait represents indirect evidence > of a causal biomarker-disease association. The validity of Mendelian > Randomization, however, is based on instrumental variable assumptions, the > most important being absence of pleiotropy. This talk will describe the > approach, discuss ways to assess pleiotropy, highlight opportunities and > challenges offered by available genome-wide data, and discuss its extension > to the field of epigenetics (two-step epigenetic Mendelian randomization). > > > > >

1 0

Seminario ROSSELL
by Matteo Ruggiero 09 Oct '15

09 Oct '15

******************************************************************* STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO ******************************************************************* Veberdi 16 Ottobre 2015 alle ore 12:00, presso l’Aula Rossa del Collegio Carlo Alberto, Moncalieri (TO), si terra' il seguente seminario: David ROSSELL (University of Warwick) CONSISTENCY OF POSTERIOR MODEL PROBABILITIES IN HIGH-DIMENSIONAL MODEL SELECTION Abstract: In recent years there has been an increasing interest in developing Bayesian formulations that remain effective in high-dimensional and non-standard problems. We focus on high-dimensional model selection problems where the number of parameters may grow with the sample size, and review results characterizing the situations under which one can hope for the posterior probability assigned to the data-generating truth to eventually converge to 1 (often termed "strong consistency"). As it turns out, under certain regularity conditions for the canonical linear model such consistency can only be achieved if the prior formulation is based on so-called non-local priors. We will review the non-local prior framework and present some recent extensions for high-dimensional estimation. Our theoretical and empirical results show that inducing model selection parsimony via non-local priors allows working with simpler models and improving prediction accuracy simultaneously. Although for simplicity we shall focus on variable selection settings, time allowing we will touch upon extensions to more complex settings such as graphical models or mixture models. Tutti gli interessati sono invitati a partecipare. Il seminario e' organizzato dalla "de Castro" Statistics Initiative (http://www.carloalberto.org/stats) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

1 0

mini-corso Ruodu Wang in Bicocca
by runggal＠math.unipd.it 08 Oct '15

08 Oct '15

Nell'ambito del programma di internazionalizzazione del Dottorato in Statistica e Matematica per la Finanza della Bicocca, il prof. Ruodu Wang del Department of Statistics and Actuarial Science della University of Waterloo terrà nei giorni 9,10 e 11 novembre un mini-corso su Risk aggregation and Fréchet problems Fréchet problems refer to questions related to an aggregation (sum, typically) of several random variables, where the marginal distribution of each individual random variable is known and the joint distribution (copula) is unspecific. Unfortunately (in fact, fortunately), a large number of questions in this field are still mathematically open. In the modeling of risk aggregation, individual risks and their dependence structure are often modeled separately, leading to uncertainty arising at the level of a joint model. As the dependence structure is typically uncertain, the study on quantitative characteristics (e.g. risk measures) of risk aggregation under model uncertainty leads to a variety of Frèchet problems. This course covers various topics in this quickly expanding field. The content is mainly based on recent research of the instructor and his collaborators. Le lezioni si svolgeranno dalle ore 14.30 alle 17.30 presso la Sala del Consiglio al IV piano dell'edificio U7. La partecipazione è libera ma è necessario iscriversi mandando una email a drm2015(a)unimib.it. Ulteriori informazioni sono disponibili sulla pagina https://sites.google.com/site/dependenceriskmeasures/mini-course[1] Saluti Prof. Fabio Bellini Department of Statistics and Quantitative Methods University of Milano-Bicocca Via Bicocca degli Arcimboldi 8, 20126 Milano 0039-2-64483119 http://www.economia.unimib.it/bellini http://scholar.google.it/citations?user=P61L8P4AAAAJ&hl=it Links: ------ [1] https://sites.google.com/site/dependenceriskmeasures/mini-course ---------------------------------------------------------------- This message was sent using IMP, the Internet Messaging Program. _______________________________________________ Random mailing list Per informazioni e per disiscriversi: https://fields.dm.unipi.it/listinfo/random Per contattare gli amministratori: random-admin(a)fields.dm.unipi.it Per inviare un messaggio alla mailing list: Random(a)fields.dm.unipi.it Archivio dei messaggi inviati: https://fields.dm.unipi.it/pipermail/random/#end

1 0

mini-corso Ruodu Wang in Bicocca
by Fabio Bellini 08 Oct '15

08 Oct '15

1 0

Paolo Guasoni lectures on Portfolio Choice and Asset Pricing at University of Verona
by Luca di persio 07 Oct '15

07 Oct '15

Dear all, this is to announce that Prof. Paolo Guasoni [ Dublin City University ] will give a mini course (8 hours) concerning Lectures on Portfolio Choice and Asset Pricing within the Mathematical Finance Course (Master degree in Mathematics) at the Department of Computer Science, University of Verona. The lectures will cover the attached programme, and they have been scheduled according to the following calendar Monday 26/10 : 1330 - 1630 Tuesday 27/10 : 1030 - 1230 Thursday 29/10 : 1230 - 1530 All the lesson will be given here https://goo.gl/maps/6mB9N2SSeqC2 Strada le Grazie, 15 - 37134 Verona VR Ca' Vignal 2, first floor , Room M Do not hesitate to contact me for further details: luca.dipersio(a)univr.it LuCa __ Luca Di Persio - PhD assistant professor of Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Dept. Math University of Trento V. Sommarive, 14 - 38123 Povo - Italy Tel : +39 0461 281686

1 0

Seminario Prof. Henry Wynn
by DI NARDO Elvira 07 Oct '15

07 Oct '15

******************************************************************** SEMINARI per i corsi di Laurea in Economia Aziendale (triennale) Economia delle Risorse Naturali e Culturali (magistrale) ******************************************************************** Mercoledi' 14 Ottobre 2015 alle ore 9:30 presso l'Aula 10 del Dipartimento di Matematica, Informatica ed Economia, Campus Macchia Romana, Universita' degli Studi della Basilicata Prof. Henry Wynn (Department of Statistics, London School of Economics) "What is learning? A Bayesian approach" Abstract: Simple examples show that data can contradict prior beliefs; one can be "surprised". But theoretically one always expects to learn in a well-defined way and the class of information functionals for which this is true is known and includes Shannon information. Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Elvira Di Nardo -- ...................................................... Elvira Di Nardo Dept. Mathematics, Computer Science and Economics University of Basilicata Viale dell'Ateneo Lucano 10 I-85100 (Potenza) alternative address: dinardo.el(a)gmail.com (room) +390971205890 (cell.) +393470033068 (fax) + 390971205896 (skype) elvira.di.nardo (web) http://oldwww.unibas.it/utenti/dinardo/home.html ......................................................

1 0

Call for Papers: XVII WORKSHOP on QUANTITATIVE FINANCE, Pisa, January 28-29, 2016, Second Announcement
by Fabrizio Lillo 05 Oct '15

05 Oct '15

Second Announcement: XVII WORKSHOP on QUANTITATIVE FINANCE January 28-29, 2016 Venue: Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa Italy The Workshop is the seventeenth edition of an annual meeting place for academia and financial industry on theoretical topics of quantitative finance and their application to the current issues facing the industry. The Workshop welcomes contributions from Mathematical Finance, Quantitative Risk Management, Financial Economics, Computational Finance, Financial Econometrics, Statistics of Financial Markets, Corporate Finance. As in the previous edition of the workshop, we wish to particularly encourage an international participation of young researchers and both theoretical and applied contributions. SCIENTIFIC COMMITTEE Fabio Bellini (Università degli Studi di Milano Bicocca), Giacomo Bormetti (Scuola Normale Superiore, Pisa), Andrea Consiglio (Università degli Studi di Palermo), Friederich Hubalek (Technische Universität Wien), Fabrizio Lillo (Scuola Normale Superiore, Pisa), Elisa Luciano (Università degli Studi di Torino), Maria Elvira Mancino (Università degli Studi di Firenze), Stefano Marmi (Scuola Normale Superiore, Pisa), Massimo Morini (Banca IMI), Aldo Nassigh (Unicredit Group), Loriana Pelizzon (Università Ca’ Foscari Venezia), Mustafa Pinar (Bilkent University, Ankara), Mathieu Rosenbaum (École Polytechnique, Paris), Sergio Scarlatti (Università degli Studi di Roma “Tor Vergata”), Carlo Sgarra (Politecnico di Milano), Peter Tankov (Université Denis Diderot, Paris), Josef Teichmann (ETH Zurich), and Tiziano Vargiolu (Università degli Studi di Padova). LOCAL COMMITTEE Giacomo Bormetti, Fabrizio Lillo, Maria Elvira Mancino, Stefano Marmi, Davide Pirino, Daniele Regoli, Chiara Sabelli. Deadline for submission: November 8, 2015 Web site: http://mathfinance.sns.it/qfwxvii/ ---------------------------------------- Fabrizio Lillo Scuola Normale Superiore di Pisa Piazza dei Cavalieri 7 56126 Pisa ITALY Check the new website: fabriziolillo.wordpress.com phone: +39 050509159

1 0

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

Random October 2015