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124th European Study Group with Industry, Rome, August 29th to September 2nd 2016
by Maurizio Ceseri 31 May '16

31 May '16

Dear colleagues, We are pleased to announce a unique opportunity for Research to meet Industry. Sportello Matematico per l’Industria Italiana, with the support of *MI-Net COST Action*, organizes the *124th European Study Group with Industry*. The event will take place in Rome from *August 29th to September 2nd 2016*. European Study Groups with Industry are events with a well-established international tradition <http://www.sportellomatematico.it/lists/lt.php?id=eEhVCUkESV0B>: enterprises and researchers in Applied Mathematics work and brainstorm together to solve real industrial problems. A Study Group represents a great chance for researchers that allows to: - Work on *cutting-edge* industrial problems, - Find *new connections* with industrial partners, - Explore *novel research lines*. The partecipation to the event is free for Academics. We particularly encourage Master Students, PhD Students and PostDoctoral Fellows to apply. Funds are available to support accommodation costs for a limited number of participant. All the information concerning the Programme of the week, the selected industrial problems, and the registration procedure will be soon available on the event website www.sportellomatematico.it/ESGI2016 <http://www.sportellomatematico.it/lists/lt.php?id=eEhVRAFMDF0> . For any further information feel free to contact the organization team at esgi2016(a)sportellomatematico.it . We look forward to seeing you in Rome! Maurizio Ceseri Sportello Matematico per l'Industria Italiana Istituto per le Applicazioni del Calcolo (IAC-CNR) via dei Taurini 19, 00185 Roma (Italy) Tel: (+39) 0649270969 Website: sportellomatematico.it

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PhD opportunity in Toulouse, France
by Pietro Caputo 31 May '16

31 May '16

Ricevo e inoltro il messaggio relativo a una borsa di dottorato. Gli interessati sono pregati di contattare Laurent Miclo entro il 6 giugno 2016 PhD opening Title: Study of the CSMA-QB access protocol Keywords: Convergence and long-time behavior of Markov processes, functional limit theorems, stochastic networks, independent sets Co-supervision: Laurent Miclo http://perso.math.univ-toulouse.fr/miclo/ Institut de Mathematiques de Toulouse, Universite Paul Sabatier, Toulouse Florian Simatos http://personnel.isae.fr/florian-simatos/ Departement d’Ingenierie des Systemes Complexes, ISAE–Supaero, Toulouse, et Institut de Mathematiques de Toulouse, Universite Paul Sabatier, Toulouse Contact: laurent.miclo(a)math.univ-toulouse.fr Localisation: ISAE–Supaero and Universite Paul Sabatier, Toulouse Summary of the project Context. The performance of wireless networks where users share the air as communication medium is strongly limited by the electromagnetic interference phenomenon: two users who are close and communicate on the same frequency will interfere, which may potentially lead to losing the information transmitted. Access protocols are here to mitigate this effect and thus play a key role in the performance of modern >From a scientific standpoint, this is a challenging problem that has attracted considerable attention from both the computer science and applied probability communities for more than 30 years. Recently, a new class of access protocols – called adaptive CSMA protocols – has emerged, and which seems very promising. These protocols were for instance shown to enjoy the very desirable property of being maximally stable. The goal of this project is to advance the state-of-the-art on the particular adaptive CSMA protocols called CSMA-QB protocols (where QB stands for Queue-Based), which to date is very limited. In particular, we will aim to prove theoretical results that shed light on the achievable trade-off between throughput and delay. Probabilistic model. From a technical standpoint, we will study the following model. Each user of the network is represented by the node of a graph G, called interference graph, and such that two neighboring nodes cannot be active simultaneously. Packets to be transmitted arrrive at each node over time, and the goal is to choose which nodes are active at every moment. CSMA-QB solves this problem in the following manner: when a node is active, it de-activates at a constant rate and when it is active and none of its neighbors is, then it activates at a rate that depends on the number of packets in its backlog. The dependency is given by a function ψ called activation function. The general goal of the thesis is to understand the influence of the topology G and of the choice of ψ on the protocol performance. This involves classical probabilistic tools, and we will in particular study the mixing time of Glauber dynamic as well as the stochastic averaging property, both of which play a key role in the analysis of this protocol.

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Seminario di Aldo Procacci
by Massimo Campanino 30 May '16

30 May '16

Lun 13 Giu, ore 15:00 aula: Aula Arzelà - Dipartimento di Matematica piazza Porta S. Donato, 5, Bologna Aldo Procacci (Dipartimento di Matematica - Universidade Federal de Minas Gerais - Brasile) terrà un seminario dal titolo Convergence of the Mayer and Virial expansions and the Penrose tree-graph identity organizzato da: Massimo Campanino https://www.dm.unibo.it/seminari/ 5x1000 AI GIOVANI RICERCATORI DELL'UNIVERSITÀ DI BOLOGNA Codice Fiscale: 80007010376

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quaderno UMI
by Irene Crimaldi 30 May '16

30 May '16

Salve, scrivo per annunciare che è uscito il quaderno dell'Unione Matematica Italiana di cui sono autrice: "Introduzione alla nozione di convergenza stabile e sue varianti", Quaderni dell'Unione Matematica Italiana, numero 57 (2016), ISBN 978-88-96336-22-9 costo 20 euro Chiunque sia interessato può acquistare il quaderno presso la segreteria dell'Unione Matematica Italiana tel.+39 051 243190 http://umi.dm.unibo.it/ Cordiali saluti, Irene Crimaldi IMT School for Advanced Studies Lucca

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ICEEE 2017 - call for papers
by Monica Billio 30 May '16

30 May '16

Seventh Italian Congress of Econometrics and Empirical Economics (ICEEE 2017) The Italian Econometric Association (SIdE) is pleased to announce the Seventh Italian Congress of Econometrics and Empirical Economics (ICEEE 2017), which will take place January 25-27, 2017, in Messina, Italy. Economists, statisticians and econometricians are invited to submit theoretical and applied papers in all areas of econometrics and empirical economics. Invited speakers: Maria Cristina De Nardi (University College London, Federal Reserve Bank of Chicago, IFS and NBER), Lucrezia Reichlin (London Business School). Conference webpage: http://virgo.unive.it/side/?page_id=1745 Submission of papers is now possible via Easychair: ** https://easychair.org/conferences/?conf=iceee7th (with a limit of one paper per submitter) at https://easychair.org/conferences/?conf=iceee7th. The deadline for submission is September 30, 2016. The decision notification date is November 20, 2016. Program Committee: Erich Battistin (Queen Mary University of London), Monica Billio (Ca’ Foscari University of Venice - Chair), Fabio Canova (BI Norwegian Business School), Roberto Casarin (Ca’ Foscari University of Venice), Giuseppe Cavaliere (University of Bologna), Massimiliano Caporin (University of Padua), Valentina Corradi (University of Warwick), Fulvio Corsi (Ca’ Foscari University of Venice), Walter Distaso (Imperial College London and University of Messina), Luca Fanelli (University of Bologna), Mario Forni (University of Modena and Reggio Emilia), Raffaella Giacomini (University College London), Tullio Jappelli (University of Naples “Federico II”), Simone Manganelli (European Central Bank, Frankfurt), Raffaele Miniaci (University of Brescia), Chiara Monfardini (University of Bologna), Edoardo Otranto (University of Messina), Franco Peracchi (University of Rome “Tor Vergata”), Elena Pesavento (Emory University), Francesco Ravazzolo (Free University of Bozen), Barbara Rossi (ICREA-Universitat Pompeu Fabra, Barcelona GSE and CREI), Eduardo Rossi (University of Pavia and European Commission Joint Research Center), Alessandro Tarozzi (Universitat Pompeu Fabra and Barcelona GSE). Local organizing Committee: Walter Distaso (Imperial College and University of Messina – Chair), Leone Leonida (University of Messina and King’s College), Dario Maimone Ansaldo Patti (University of Messina) Prizes: One prize of Euro 1,500 will be awarded to the best conference paper written by young scientists in Macroeconometrics or Financial Econometrics (Carlo Giannini Prize, offered by SIdE). One prize of Euro 2,500 will be awarded to the best conference paper written by young scientists in Theoretical or Applied Microeconometrics (Labour Prize, offered by LABOUR: Review of Labour Economics and Industrial Relations). For eligibility to both prizes, all authors of a paper must be no more than 4 years past the PhD defense.

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34 PhD scholarships at IMT Lucca
by Irene Crimaldi 30 May '16

30 May '16

Dear all, I am writing to let you know about the call for *PhD scholarships* at the IMT School for Advanced Studies Lucca (www.imtlucca.it) specifically the curriculum in *Economics, Management and Data Science*. This year the School is offering 34 positions for the Program, and admitted students - in addition to free room and board - will also receive a research scholarship which amounts to approximately €13,600/year. Interested candidates must fill out the online application form ( https://www.imtlucca.it/phd/prospective/admission) by the deadline of July 13th 2016, 6 pm Italian time. Best wishes, Irene Crimaldi IMT School for Advanced Studies Lucca *Economics, Management and Data Science (EMDS) curriculum * *within the 2016/17 PhD program at the IMT School for Advanced Studies Lucca* Perspective students should preferably have a master-level background in economics, management science, physics, mathematics, statistics, computer science, engineering or in a related field. Under the Direction of Prof. Massimo Riccaboni, this curriculum provides participants with a solid knowledge base in analytical methods in economics and management science. With its multidisciplinary approach, the curriculum is unique in its deployment of a strong integration of concepts, analytical foundations, and practical expertise, to educate a new professional élite with distinctive capabilities in analyzing, visualizing, interpreting, and managing complex problems in economics and management. Graduates are trained as future leaders in policy and industry. Students are involved in the analysis of real world big/high dimensional data, in collaboration with companies and institutions. The curriculum relies on distinctive competences at IMT in economics, political economy, management science and analytics, computer science, applied mathematics, statistics, network theory, and system engineering/operation research. Specific fields of study are economic networks and network industries; healthcare and pharmaceuticals; systemic risk analysis; economics and finance; political economy; organization, entrepreneurship, and technology; strategy; marketing science; critical infrastructures; systems modeling and optimization; stochastic systems; production and operations. Close associations with a selected set of companies and institutions provide the opportunity to analyze relevant problems, motivating new analytical techniques from practical problem solving. Courses are led by world-renowned researchers and provide students with all the theoretical skills and advanced tools required for rigorously tackling a multitude of analysis, design and management problems within the broad framework of systems analysis in economic, social, scientific, technological and cultural domains. Specialized faculty and staff create a network that provides key guidance and support throughout the PhD Program. Working closely with faculty, both in the classroom and in the development of research, students reach the highest levels of scholarly achievement. IMT School PhD graduates will be able to use the skills they acquired during their studies to recognize and resolve complex problems, to choose the most appropriate method or instrument to utilize when approaching these problems, even in disciplines outside of their primary field of research. All students are based in the recently restored San Francesco complex, a fully integrated Campus in the historical center of the beautiful Tuscan city of Lucca. The Campus includes renewed residential facilities, an on-site canteen, study and living rooms, a state-of-the-art library and outdoor recreational spaces, which foster a unique cultural, professional and social environment for our doctoral program. Admitted students, in addition to free room and board, will also receive a research scholarship which amounts to approximately €13,600/year. Additional funding for research stages also will be provided. The PhD program at the IMT School attracts students from around the world, providing a truly international environment. English is the official language of the School. Moreover, all students will have the opportunity to spend periods abroad at research institutes, laboratories or universities, both within the Erasmus+ framework and through ad hoc mobility agreements. Most IMT School PhD Graduates have reached prominent roles in academics, governmental institutions, public and private companies or professions across the globe. To find out more about the School, the admission requirements and how to apply, please see www.imtlucca.it/phd Find the IMT School on Facebook, Twitter, LinkedIn and YouTube for the latest news.

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Politecnico di Milano - Seminario M. Reimher, Penn State University
by Laura M. Sangalli 30 May '16

30 May '16

Si avvisa che in data 17/6/2016, alle ore 15:00, presso Aula Seminari "Saleri" VI Piano, Dipartimento di Matematica, Politecnico di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente seminario: Relatore: Matthew Reimher, Department of Statistics, Penn State University Titolo: A Geometric Approach to Confidence Regions and Bands for Functional Parameters Abstract: Functional data analysis, FDA, is now a well established discipline of statistics, with its core concepts and perspectives in place. Despite this, there are still fundamental statistical questions which have received relatively little attention. One of these is the systematic development of techniques for constructing confidence regions for functional parameters. I will present new work that takes a geometric approach to developing, understanding, and visualizing such regions. Simulations and an application to Fractional Anisotropy will also be presented. 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

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Seminario A. Kashlak - Politecnico di Milano
by Laura M. Sangalli 30 May '16

30 May '16

Si avvisa che in data 01-06-2016, 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: Adam Kashlak, Cambridge University Titolo: Inference on covariance operators via concentration inequalities Abstract: Inference on covariance operators is an important part of functional data analysis. Panaretos, Kraus, and Maddocks (2010) compare covariance operators for Gaussian process data. Pigoli, Aston, Dryden, and Secchi (2014) consider a variety of metrics over the space of covariance operators. In this talk, we propose a novel approach to the analysis of covariance operators making use of concentration inequalities. First, non-asymptotic confidence sets are constructed for such operators. Then, subsequent applications including a k sample test for equality of covariance, a functional data classifier, and an expectation-maximization style clustering algorithm are derived and tested on both simulated and phoneme data. 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

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PhD in Statistics and Mathematical Finance
by Fabio Bellini 30 May '16

30 May '16

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(senza oggetto)
by Tiziano Vargiolu 27 May '16

27 May '16

AVVISO SEMINARI Per martedi' 31 maggio sono programmati i seguenti seminari nell'area probabilita'/finanza presso il Dipartimento di Matematica dell'Universita' di Padova; si svolgeranno nell'aula seminari al VII piano della Torre B. Ore 14.30: Prof. Yuliya Mishura Taras Shevchenko National University of Kyiv Title: Gaussian processes that are generalized quasi-helices and their properties Abstract: We consider several problems for Gaussian processes which are, in some sense, the generalizations of fractional Brownian motion. Three problems are considered: the behavior of the maximal functionals, the representation results and some statistical results. We investigate the asymptotic behavior of maximal functionals under critical values of the parameters of the corresponding quasi-helix, give the representations of the random variables via the integration w.r.t. Gaussian processes and explain how to construct and investigate unknown drift parameter estimators in the SDE involving the general Gaussian processes. Ore 15.30 Prof. Erik Schloegl University of Technology Sydney Title: Toward Quantifying Model Risk Abstract: As a paper by the Board of Governors of the Federal Reserve System put it in 2011, ?The use of models invariably presents model risk, which is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports.? However, there has been surprisingly little research to date on quantifying this risk, or putting the analysis of this risk on a more rigorous footing. This presentation discusses four types of model risk encountered when using models for the pricing and risk management of derivative financial instruments, and the relationship (and potential trade-offs) between them. Secondly, we consider how one would go about implementing the ?relative entropy? approach to model risk suggested by Glasserman and Xu (2013) in this context, and how this may affect modelling choices in practice. 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 --------------------------------------------------------------------------

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