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Position of associate professor in Probability and Statistics - University of Trieste
by Francesco Caravenna 06 Jun '18

06 Jun '18

Ricevo e inoltro. > ---------- Forwarded message ---------- > From: Emilia Mezzetti <mezzette(a)units.it <mailto:mezzette@units.it>> > Date: 2018-06-05 20:17 GMT+02:00 > Subject: Position of associate professor in Probability and Statistics - University of Trieste > To: > > > Dear everybody, > I wish to signal the opening of a position of Associate professor in Probability and Statistics at the University of Trieste. Please distribute this announcement. > Best regards, > Emilia Mezzetti > > > > Associate Professor in Probability and Statistics > University of Trieste > Department of Mathematics and Geosciences – Excellence Department 2018-2022 > > The Department of Mathematics and Geosciences was recently selected by the Italian Ministry of Research and University as one of the Excellence Departments among all the Italian State universities. Because of this, the Department will receive a special financial support in the next five years, which will involve human resources, investments, and high quality didactical activities. > > In this framework the Department invites qualified researchers in the field of Probability and Mathematical Statistics to submit expressions of interest in view of the opening of a position of Associate Professor in the Italian recruitment sector MAT/06 - Probabilità e Statistica. > > The candidates must either have been declared eligible by the Italian Ministery of Research and University to the position of Associate Professor, or be currently employed in an equivalent position in an Italian or foreign department. Once recruited, they will be asked to teach courses at the first and second university levels, and possibly also to PhD students, for a total amount of 120 hours per year. The research activity will be such as to satisfy the guidelines of the Commission for Evaluation of Research of the University of Trieste, so to maintain a good scientific production. > > The expressions of interest must be addressed to Prof. Francesco Princivalle, Director of the Department of Mathematics and Geosciences, to the e-mail address direttoredmg(a)units.it <mailto:direttoredmg@units.it>, jointly with a curriculum vitae, possibly before June 30, 2018. Clearly enough, this initiative will have no influence on the final judgement for the recruitment. > > > > -- > Prof.ssa Emilia Mezzetti > Dipartimento di Matematica e Geoscienze > Sezione di Matematica e Informatica > Università degli Studi di Trieste > Via A.Valerio 12/1 > 34127 Trieste, Italia > > Stanza 227, II piano > e-mail: mezzette(a)units.it <mailto:mezzette@units.it> > tel. studio (++) 040 558 2650 > tel. casa: (++) 040 43655 > fax: (++) 040 558 2636 > skype: emiliamezzetti > > http://www.dmi.units.it/~mezzette/ <http://www.dmi.units.it/~mezzette/>

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mini-corso - Prof.ssa Giulia Di Nunno
by Emanuela Rosazza 05 Jun '18

05 Jun '18

Nell’ambito del Dottorato in Statistica e Finanza Matematica, la Prof.ssa Giulia Di Nunno (University of Oslo) terrà un mini-corso di dottorato su Malliavin Calculus and Applications to Finance Il calendario delle lezioni è il seguente: Mercoledì 13 giugno – ore 10-13 Giovedì 14 giugno – ore 10-13 Venerdì 15 giugno – ore 10-12 Location: Aula Seminari 2062 del DISMEQ – Università di Milano-Bicocca – aula seminari 2062 – U7 – secondo piano La partecipazione è libera ma per motivi logistici è consigliata la registrazione inviando una mail a nicoletta.alghisi(a)unimib.it. Cordiali saluti, Emanuela ******************************************************************************************* Emanuela Rosazza Gianin Dipartimento di Statistica e Metodi Quantitativi Università di Milano-Bicocca Edificio U7 – 4° Piano Via Bicocca degli Arcimboldi, 8 20126 Milano Tel. 02 64483208 Fax. 02 64483105 e-mail: emanuela.rosazza1(a)unimib.it *******************************************************************************************

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[WORKSHOP Reminder] Stochastic Analysis, Geometry and Statistics at Imperial College London, June 21-22
by Brigo, Damiano 05 Jun '18

05 Jun '18

Workshop on Stochastic Analysis, Geometry and Statistics at Imperial College London, June 21-22, 2018. http://www.imperial.ac.uk/sagest-2018/ Invited speakers: Michael Betancourt (Symplectomorphic, LLC) David Elworthy (Warwick) Peter Friz (TU Berlin) Andrew Duncan (Sussex) Karen Haberman (Bonn) Martin Hairer (Imperial College London) Yves Le Jan (Université Paris-Sud) Xue-Mei Li (Imperial College London) Terry Lyons (Oxford) Nigel Newton (Essex) James Norris (Cambridge) Grigorios Pavliotis (Imperial College London) Giovanni Pistone (Turin) Amanda Turner (Lancaster) ORGANISING COMMITTEE John Armstrong (KCL) Damiano Brigo Thomas Cass CONFERENCE SECRETARIAT Claudio Bellani Emilio Rossi Ferrucci FUNDING BODIES CFM - Imperial Institute of Quantitative Finance Department of Mathematics, Imperial College London Department of Mathematics, King's College London London Mathematical Society CONTACTS AND REGISTRATION http://www.imperial.ac.uk/sagest-2018/contacts-and-registration/ ------ Prof. Damiano Brigo Chair at the Department of Mathematics Mathematical Finance and Stochastic Analysis Groups Imperial College London www3.imperial.ac.uk/people/damiano.brigo

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SUBMISSION DEADLINE EXTENDED TO JUNE 18 FOR HFFE 2018 Pisa
by Daniele Tantari 05 Jun '18

05 Jun '18

Dear colleagues, we hope this email finds you well. We are organizing a workshop on "Frontiers in High-Frequency Financial Econometrics" at Scuola Normale Superiore in Pisa (Italy) on 28-29 September 2018. The purpose of the workshop is to bring together scholars from the financial econometrics and mathematical finance fields to present latest results on high-frequency financial econometrics. *The deadline for submission is now June 18, 2018.* For more information, see the conference website: https://www.hffe2018sns.com/ We kindly ask you to cascade this information to your respective teams as appropriate, and please forward this email to whom it may concern. The scientific committee of the workshop consists of Giacomo Bormetti (University of Bologna), Fulvio Corsi (University of Pisa), Fabrizio Lillo (University of Bologna), Maria Elvira Mancino (University of Florence), Stefano Marmi (Scuola Normale Superiore), Davide Pirino (University of Rome "Tor Vergata"), Roberto Renò (University of Verona) The final program of the workshop will include both submitted and invited papers. Our guest speakers are Yacine Ait-Sahalia (Princeton University) Nikolaus Hautsch (University of Vienna) André Lucas (VU University Amsterdam) Mathieu Rosenbaum (Ecole Polytechnique) On behalf of the organizing committee, Best Regards, Daniele Tantari

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assegno di ricerca
by Franco Flandoli 05 Jun '18

05 Jun '18

E' bandito un assegno di ricerca annuale presso la Scuola Normale Superiore di Pisa, nell'ambito della Probabilità. Il bando si può consultare seguendo i link: IT: https://www.sns.it/scuola/opportunit%C3%A0-offerte-dalla- normale/bandi-di-concorso/assegni-di-ricerca ENG: https://en.sns.it/international/job-opportunities/research-grants Scadenza 4 luglio. Franco Flandoli

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Fwd: vacancy
by Cristian Giardina 05 Jun '18

05 Jun '18

Con preghiera di diffusione. Saluti cordiali, C. Giardina' %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% *In the Probability group at Leiden University and the Applied Probability group at Delft Institute for Applied Mathematics * *there are vacancies for two PhD students, one in each group.* *Project Description* The aim of the project is to advance the theory of duality for Markov processes in the context of population dynamics and interacting particle systems in random environment. In Leiden the focus will be on genetic models with seed-bank and the effect of migration on the evolution of the population. In Delft the focus will be on condensation phenomena for models of heat conduction in inhomogeneous media. The project is funded through the TOP 1 NWO grant "Duality for Interacting Particle Systems" of Frank den Hollander (Leiden University), Frank Redig and Cristian Giardinà (Delft University of Technology). The two PhD students are expected to work in close collaboration with each other and with the three supervisors, as a team. *Starting Date* January 1, 2019. *Job requirements* We are looking for a candidate that meets the following requirements: · a solid background in Applied Mathematics, with an interest in probability theory, interacting particle systems, Markov processes; · detailed knowledge of analysis, probability theory and stochastic processes, as demonstrated by a relevant Master; · an interest in cross-topic collaboration between different fields of mathematics with applications to physics and/or biology; · candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills; · good communicative skills in English, both in speaking and in writing. *We offer* · a challenging job in a dynamic and highly ranked University; · collaboration in an excellent research environment, with many young PhD candidates, postdocs, and young staff members; · full-time employment as a PhD-candidate for a period of 4 years; · a gross salary of € 2222 per month in the first year increasing up to € 2844 in the fourth year; · annually 8% holiday allowance and 8.3% end of year allowance; · support with your personal development and career planning including courses, summer schools, conference visits etc.; · a broad package of fringe benefits (including an excellent technical infrastructure, child care, moving expenses, savings schemes, coverage of costs of publishing the dissertation and excellent sports facilities). As part of an equal opportunity scheme, women are encouraged to apply. Attaining a PhD at Leiden University or Delft University of Technology provides you with excellent career opportunities.

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Polimi: Avviso di seminario
by Daniele Marazzina 05 Jun '18

05 Jun '18

Con preghiera di diffusione ________________________________ Si avvisa che in data 12/6/2018, alle ore 13:45 precise, presso il Dipartimento di Matematica del Politecnico di Milano, Aula Seminari Terzo Piano, nell'ambito delle iniziative della sezione di Finanza Quantitativa, si svolgerà il seguente seminario: Titolo: Learning the Optimal Risk - Advanced Risk-Based Portfolio Management with Global Optimization Algorithms Relatore: Marco Scaringi, Intesa Sanpaolo

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[POSITION] Associate Professor in Statistics - Milan - Italy
by stefano iacus 04 Jun '18

04 Jun '18

[apologizes fo crossposting] The Centre of Excellence in Economics and Data Science ( http://ceeds.unimi.it ) of the Department of Economics, Management and Quantitative Methods (DEMM), University of Milan has open the following position of Associate Professor ("professore associato" in the Italian system) in STATISTICS: "n. 1 posto - s.c. 13/D1, ssd SECS-S/01 (Codice 3766), settore concorsuale 13/D1 - Statistica, SECS-S/01 - Statistica" Deadline: 29th June 2018, 12am (Italian local time) Particular attention will be given to candidates with an excellent research record and showing the potential to cooperate with the current members of the department in pursuing DEMM’s strategy in the development of Data Science and Economics. More information about the application procedure can ben found here: http://www.unimi.it/ateneo/valcomp/95799.htm Further contacts: datasciencelab(a)unimi.it, stefano.iacus(a)unimi.it ----------------------------------- Prof. Stefano M. Iacus, Ph.D. Director of DSE - Master in Data Science & Economics http://www.dse.unimi.it CEO/CTO/Co-Founder VOICES from the Blogs http://www.voices-int.com Department of Economics, Management and Quantitative Methods University of Milan Via Conservatorio, 7 I-20123 Milan - Italy Ph.: +39 02 50321 461 Fax: +39 02 50321 505 Twitter: @iacus http://scholar.google.com/citations?user=JBs9tJ4AAAAJ&hl=en http://orcid.org/0000-0002-4884-0047 Master in Finance & Economics http://www.dse.unimi.it Twitter: @dseunimi Facebook: http://www.facebook.com/dseunimi Email and further information at: dse(a)unimi.it ------------------------------------------------------------------------------------ Please don't send me Word or PowerPoint attachments if not absolutely necessary. See: http://www.gnu.org/philosophy/no-word-attachments.html

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prof Campi's seminar - LUISS June 7
by Sara 04 Jun '18

04 Jun '18

On June 7, at 12 pm room 305B prof Luciano Campi, the London School of Economics, will give the following seminar Title: N-player games and mean field games with absorption Abstract: We introduce a simple class of mean field games with absorbing boundary over a finite time horizon. In the corresponding N-player games, the evolution of players' states is described by a system of weakly interacting Ito equations with absorption on first exit from a bounded open set. Once a player exits, her/his contribution is removed from the empirical measure of the system. Players thus interact through a renormalized empirical measure. In the definition of solution to the mean field game, the renormalization appears in form of a conditional law. We justify our definition of solution in the usual way, that is, by showing that a solution of the mean field game induces approximate Nash equilibria for the N-player games with approximation error tending to zero as N tends to infinity. This convergence is established provided the diffusion coefficient is non-degenerate. The degenerate case is more delicate and gives rise to counter-examples. The talk is based on a joint paper with Markus Fischer (Padua University). best regards -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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Avviso seminario_Bernard Hanzon_ 5 giugno_ore 16:30
by Stefano Bonaccorsi 04 Jun '18

04 Jun '18

On Global Optimization of the Likelihood Function for Linear Time Series Models *Tuesday 5 June 2018* *Venue:* Department of Mathematics, via Sommarive, 14 - Povo (TN) - Seminar Room "-1" *At: *4:30 pm Speaker: - *Bernard Hanzon* (Dept Mathematics, University College Cork, Ireland) *Abstract:* We present an approach to find the global optimum of a linear time series model in state space form. By firstly applying a partial optimization step to the likelihood function the problem can be reduced to a problem of optimization of the likelihood over a set which has compact closure. By applying a regularization the resulting problem is that of finding the optimum of a Lipschitz continuous function on a compact set which is known to have a (constructive) solution. Techniques from the theory of parametrization of linear state space systems and some basic techniques from differentiable manifold theory are used to obtain these results. Furthermore the surprising fact is shown that the "crude" maximum likelihood estimator (without regularization and compactification) does not exist in the sense that the likelihood function has an infinite, typically unattained, supremum. Comments will be made about the effect of the regularization used on the outcome. *Contact person: *Stefano Bonaccorsi

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