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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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prof A. Minca's seminar - June 5, LUISS - Roma
by Sara 03 Jun '18

03 Jun '18

Please, find the announcement below. ---------- Forwarded message ---------- From: Dipartimento Economia e Finanza LUISS Guido Carli < economiaefinanza(a)luiss.it> Date: Tue, May 29, 2018 at 3:19 PM Subject: Research Seminars of the Dept. of Economics and Finance / agenda To: Dipartimento Economia e Finanza LUISS Guido Carli < economiaefinanza(a)luiss.it> The next Research Seminars of the Dept. of Economics and Finance are scheduled as follow: *June 5 from 12:00 to 13:00, room 104 viale Romania <https://maps.google.com/?q=104+viale+Romania&entry=gmail&source=g>.* *Speaker:* Andreea Minca (Cornell University) *Title:* Dynamic Leveraging-Deleveraging Games *Abstract:* We introduce a new mechanism for leverage dynamics, which results from a multi-period game of lenders with differentiated beliefs about the firm's fundamental returns. The game features strategic substitutability for low existing leverage and one-sided strategic complementarity for high existing leverage. The resulting leverage process exhibits a mean-reverting regime around a long-run level, as long as it stays below an instability level. Above the instability level, leverage becomes explosive. We validate our model empirically using aggregate returns of financial firms over the 10 year period 2001-2010. Our model predicts the leveraging/deleveraging of this period, and in particular the 2008 collapse in short term debt. *Dipartimento di Economia e Finanza* Viale Romania, 32 - 00197 Roma <https://maps.google.com/?q=Viale+Romania,+32+-+00197+Roma&entry=gmail&sourc…> *def(a)luiss.it <def(a)luiss.it>* t +39 06 85225550 <06%208522%205550> *www.luiss.it <http://www.luiss.it/>* [image: http://static.luiss.it/images_10/loghi/LS_BLU_RIDUZIONE_WEB.png] Il tuo 5x1000 alla LUISS: C.F. 02508710585 <02%205087%2010585> [image: http://www.luiss.it/images_10/icons/environment-icon.png] *Please consider the environment... do you really need to print this email?* -- 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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junior researcher position (RTD-A) in Probability in Pisa -- forthcoming deadline
by Marco Romito 01 Jun '18

01 Jun '18

Scrivo per ricordare che il bando per una posizione RTD-A nel settore MAT/06 presso il Dipartimento di Matematica dell'Università di Pisa, è in scadenza (4 giugno). Il bando è disponibile alla pagina https://alboufficiale.unipi.it/wp-content/uploads/2018/05/Bando_RTD_A_PICA-… ------------------- dear all I am writing to remind that the deadline for a junior researcher position (RTD-A) in Probability at University of Pisa is approaching (June 4). The official call (in italian) can be found at https://alboufficiale.unipi.it/wp-content/uploads/2018/05/Bando_RTD_A_PICA-… m.

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Call for interest -- Department of Economics and Finance -- University of Rome Tor Vergta
by Davide Erminio Pirino 01 Jun '18

01 Jun '18

Dear all, the "Department of Economics and Finance" of the University of Rome "Tor Vergata" has opened a call for interest for Senior (TenureTrack) Assistant Professor and Associate/Full Professor, in the field of Mathematical Finance. Please find attached a pdf with all the details of the call. Best Regards, Davide Pirino.

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Fwd: Workshop announcement: Renormalisation in QFT and in stochastic PDEs - Cambridge, 3-7 sept 2018 (fwd)
by Pietro Caputo 01 Jun '18

01 Jun '18

ricevo e inoltro: ---------- Forwarded message ---------- From: A. Giuliani <giuliani(a)mat.uniroma3.it> Date: Fri, Jun 1, 2018 at 6:57 AM Subject: Workshop announcement: Renormalisation in QFT and in stochastic PDEs - Cambridge, 3-7 sept 2018 (fwd) To: Caputo <caputo(a)mat.uniroma3.it> Dear colleague, this is an announcement of the workshop `Renormalisation in quantum field theory and in stochastic partial differential equations: a gentle introduction and some recent developments' which will be held at the Isaac Newton Institute (INI) for Mathematical Sciences in Cambridge, UK, from september 3 to 7, 2018, see https://www.newton.ac.uk/event/srqw01 We invite all the interested participant to register as soon as possible on the website: the DEADLINE FOR APPLICATIONS IS **JUNE 17, 2018** There is limited financial support available for students and young researchers; if you wish to apply for a grant, please indicate it in the application form. The workshop is the opening event of the 4-months programme `Scaling limits, rough paths, quantum field theory', which will be held at INI from september 3, to december 21, 2018, see https://www.newton.ac.uk/event/srq The invited speakers are: R. Bauerschmidt (Cambridge) M. Gubinelli (Bonn) M. Hairer (London) H. Knoerrer (Zurich) C. Kopper (Palaiseau) A. Kupiainen (Helsinki) T. Lyons (Oxford) V. Mastropietro (Milano) F. Otto (Leipzig) N. Perkowski (Berlin) G. Slade (Vancouver) L. Zambotti (Paris) The workshop will consist of 8 advanced talks and 2 mini-courses, each of which will be split in two parts (one mini-course on the Renormalization Group will be offered by A. Kupiainen and G. Slade; one mini-course on stochastic PDEs will be offered by F. Otto and L. Zambotti). Please forward this announcement to all the potentially interested colleagues and students. Thanks and best regards, Margherita Disertori Peter Friz Alessandro Giuliani Hendrik Weber

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RTD A SECS-S/01 STATISTICA Universita' Cattolica del Sacro Cuore
by Consonni Guido 01 Jun '18

01 Jun '18

L' Università Cattolica del Sacro Cuore - Facolta' di Economia- sede di Milano ha bandito un posto RTD-A di Statistica SECS-S/01 (D.Rettorale n. 4365) Il bando e tutte le altre informazioni sono reperibili all'indirizzo http://progetti.unicatt.it/progetti-ateneo-milano-brescia-piacenza-e-cremon… SCADENZA PRESENTAZIONE DOMANDE: 28/06/2018. Dipartimento di Scienze Statistiche Università Cattolica del Sacro Cuore Largo Gemelli, 1 20123 Milano; ITALY [http://Static.unicatt.it/layout/img/layout/5x1000.gif] Destina il tuo 5 per mille all'Università Cattolica CF 02133120150 www.unicatt.it/5permille<http://www.unicatt.it/5permille/>

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dottorato a Torino
by Enrico Bibbona 31 May '18

31 May '18

Gentili colleghi, il bando per il dottorato congiunto tra Università e Politecnico di Torino sta per scadere. Si chiude il 7 giugno alle 12 Vi prego di passare l'informazione ai vostri studenti più meritevoli, ai quali, in caso di partecipazione, dovrete scrivere una lettera di referenze (anch'essa da caricare entro la scadenza). Segnalo che è gradita la partecipazione di studenti con una formazione probabilistica o statistica in particolare sui temi legati al progetto di eccellenza di cui il Dipartimento di matematica del Politecnico è risultato vincitore. Si veda il bando https://www.unito.it/postlaurea/dottorato/matematica-pura-e-applicata e i temi del progetto https://areeweb.polito.it/disma-excellence/ Cordiali saluti, Enrico Bibbona -- Enrico Bibbona Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino

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2018/19 PhD Programs at the IMT School for Advanced Studies Lucca
by Irene Crimaldi 31 May '18

31 May '18

*2018/19 PhD Programs at the IMT School for Advanced Studies Lucca* *Deadline for applications – August 3rd 2018, 12 pm CEST* Applications are now being accepted for the 2018/19 PhD Programs at the IMT School for Advanced Studies Lucca (www.imtlucca.it) one of the six Schools of Excellence in Italy and one of the highest rated graduate schools in Europe according to the most recent U-Multirank survey. Highly motivated candidates from all disciplines are invited to apply for one of the 36 fully-funded scholarships within two doctoral Programs that integrate scientific competences of economics, engineering, computer science, neuroscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage. *Economics, Networks and Business Analytics* is one of the four field-specific Tracks offered and is under the “Systems Science” PhD Program. This Track provides participants with a solid knowledge on modern analytical methods in economics and management. With its multidisciplinary approach, the Track is unique in its deployment of a strong integration of concepts, analytical foundations, and practical expertise, to educate the new generation of economists, scientists and practitioners with distinctive capabilities in analyzing, interpreting, and managing complex socio-economic systems. Graduates will be trained to become researchers and decision makers in academia, policy and industry by integrating knowledge at the boundary of Economics, Statistical Physics, Computer and Social Sciences with the unifying language of Mathematics and Statistics. 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. Students are involved in the analysis of real world high dimensional data, in collaboration with companies and institutions. During their doctoral studies, students are also encouraged to carry out their research with the School’s Research Units. 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, physical, 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. Eligible students, in addition to free room and board, will also receive a research scholarship which amounts to approximately €15,300/year. Additional funding for further research stages, including scholarships to cover an eventual fourth year to complete the PhD thesis, can be assigned on a competitive basis. The PhD Programs 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 *Deadline for applications – August 3 rd 2018, 12 pm CEST* Find the IMT School on Facebook, Twitter, LinkedIn and YouTube for the latest news.

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