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avviso di seminario
by Marco Alessandro Fuhrman 16 Nov '17

16 Nov '17

Il giorno 22 novembre, alle ore 14.30, in Aula C del Dipartimento di Matematica dell'Università degli Studi di Milano (via Saldini, 50) il prof. Matteo Barigozzi (London School of Economics, Londra) terrà un seminario dal titolo "Statistical analysis of high-dimensional time series via factor models" Abstract High-dimensional time series are among the most common type of dataset available today, and have entered current practice in many areas, including meteorology, genomics, chemometrics, complex physics simulations, biological and environmental research, finance and econometrics. The analysis of such datasets poses significant challenges, both from a statistical as well as from a numerical point of view. Some of the most successful procedures so far have been based on dimension reduction techniques and, more particularly, on high-dimensional factor models which have been developed, essentially, within time series econometrics. In this talk I will first review the main results on the representation of high-dimensional stationary times series as generalized dynamic factor models. Then I will present two different estimation techniques based on principal component analysis and on Kalman filtering. Both a time and a frequency domain approach are considered. Last, some extensions to non-stationary time series are also discussed. Tutti gli interessati sono invitati a partecipare ------------------------------------------- Carati Andrea, Dipartimento di Matematica, Via Saldini 50, 20133 Milano, Italy ------------------------------------------- tel: ++39/02/5835.6139 fax: ++39/02/5835.6090 -------------------------------------------

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Fwd: Posizione aperta a Finscience
by enea giuseppe bongiorno 16 Nov '17

16 Nov '17

Ricevo ed inoltro posizione aperta presso finscience. Cordiali saluti, EB ---------- Forwarded message ---------- From: Alberto Santangelo <alberto.santangelo(a)finscience.com> Date: 2017-11-15 16:12 GMT+01:00 Subject: Posizione aperta a Finscience To: enea.bongiorno(a)uniupo.it Ciao Enea, Ti chiedo una cortesia: potresti girare la job description in allegato alle persone che secondo te potrebbero essere interessate? La figura che stiamo cercando deve avere un'esperienza dimostrabile in campo Natural Language Processing, e buone conoscenza statistico-matematiche. Non deve essere necessariamente una figura con molti anni di esperienza. Grazie -- [image: FinScience Srl] <http://www.finscience.com/> ALBERTO SANTANGELO FINANCIAL QUANTITATIVE ANALYST Office: (+39) 02 76281064 <+3902+76281064>Foro Buonaparte, 71 - Milano WWW.FINSCIENCE.COM <http://www.finscience.com/> Le informazioni contenute in questo messaggio email sono riservate e destinate esclusivamente al destinatario. In caso di ricevimento del presente messaggio da parte di soggetti diversi dal destinatario, questi è avvertito che qualsiasi uso, copia, diffusione di quanto in esso contenuto è assolutamente proibita. Se questa comunicazione Vi è pervenuta per errore, Vi preghiamo di rispondere a questa mail e successivamente cancellarla dal Vostro sistema. Information contained in this email is confidential and intended for the addressee only. Any use, copy or dissemination of this information by persons or entities other than the intended recipient is prohibited. If you receive this message in error, please reply to this e-mail and delete the material from your computer.

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Final announcement: "Winter school on Energy Systems", Eindhoven (NL), 11-15 December 2017
by Zocca, Alessandro 15 Nov '17

15 Nov '17

Dear colleagues, we are pleased to announce that the “Winter school on Energy Systems” will take place in the week of December 11-15, 2017, in Eindhoven (NL). This winter school is part of a longer tradition of workshops, called YEQT (Young European Queueing Theorists), organized annually by the Eurandom research institute for Stochastics located at the Eindhoven University of Technology. This year we organize the 11th edition of the YEQT workshop on the theme "Stochastic modelling and analysis of energy networks". This year’s YEQT has a different structure than usual, being structured as a winter school. The workshop consists of several tutorials presented by six renowned researchers: - Ana Bušić (INRIA, Paris) - James Cruise (Heriot-Watt University) - Pär Holmberg (Research Institute of Industrial Economics, Stockholm) - Pierre Pinson (Technical University of Denmark) - John Moriarty (Queen Mary University of London) - Kostya Turitsyn (MIT) Next to the tutorials, there will be 16 research talks given by invited young researchers and a poster session. For more information, program, titles and abstracts, we welcome you to take a look at the winter school webpage: https://www.eurandom.tue.nl/events/workshops/2017/YEQT_XI_2017/YEQT_XI_2017… Registration is free, but compulsory for organizational purposes (see the link in the webpage). Best wishes, Alessandro Zocca (Caltech) Nicolas Gast (INRIA, Grenoble) Fiona Sloothaak (Eindhoven University of Technology)

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Seminario di probabilità al Politecnico di Milano
by Fabio Zucca 15 Nov '17

15 Nov '17

Si avvisa che in data 23/11/2017, alle ore 10:00 precise, presso l'Aula Seminari del III piano del DIpartimento di Matematica del Politecnico di Milano si svolgerà il seguente seminario: Titolo: On segmentation with hidden, pairwise and triplet Markov models Relatore: Juri Lember, University of Tartu, Estonia Abstract: The well-known hidden Markov model (HMM) is a two-dimensional stochastic process (X,Y), where Y is a Markov chain and conditionally on Y, the X-process consists of independent random variables, the distribution of the random variable X_t depending on Y_t, only. Over the last decades, HMM's have become very popular stochastic models with applications to speech recognition, signal processing, linguistic, computational molecular biology and so on. Often the Y-process is unobserved (hidden) and the goal of the inference is to estimate its unobserved realization based on a realization of X-process. This task is called the segmentation problem and the standard ways to solve it is to use either maximum likelihood (so-called Viterbi) path or pointwise maximum likelihood (so-called PMAP) path. A trivial but important property of HMM is that the process Z=(X,Y) is itself a Markov process with a product state space. This observation allows naturally enlarge the class of HMM's to the class of pairwise Markov models (PMM) as follows: Z=(X,Y) is a PMM if Z has Markov property. Now it is clear that PMM's are a much larger class of models whose HMM\'s is just a little subclass. We briefly discuss several PMM's like Markov switching models and HMM's with dependent noise. It is important to note that if (X,Y) is a Markov process, then neither X nor Y need to have Markov property, but conditionally on X, the Y-process is Markov and vice versa. It turns out that many good properties of HMM's are mainly due to the Markov property of Z and hence these properties carry on to PMM's as well. In particular the well-known Viterbi and forward-backward algorithms apply and so standard segmentation approaches can be applied in the case of PMM's. Moreover, PMM-models provide a rather flexible and realistic model for the homology of random sequences. A triplet Markov model (TMM), introduced by W. Pieczynski, is a three-dimensional Markov process (X,Y,U), where, as previously, X stands for observations and Y is the hidden state sequence of interest. But in addition, there is another hidden component U. Since conditionally on U, the pair (X,Y) is an inhomogeneous PMM, the U-component models now the change of environment. It turns out that adding the U-component makes the model really flexible. We give a general approach to the risk-based segmentation problem that also applies for PMM's and TMM's, discuss the weaknesses standard approaches and introduce a way to overcome these problems. We also discuss the asymptotics of Viterbi segmentation for PMM\'s. Tutti gli interessati sono invitati a partecipare Fabio Zucca

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Lectureship position in Probability and Statistics at the University of Birmingham
by Francesco Caravenna 15 Nov '17

15 Nov '17

Ricevo e inoltro. > Applications are invited for a Lectureship position in the School of > Mathematics at the University of Birmingham, in the area of > Probability and Modern Statistics, broadly defined, including any area > of statistics, probability theory, computational data analysis, > machine learning, or related areas. The position is full-time and > permanent. > > Detailed information about the position can be found under > > http://www.jobs.ac.uk/job/BFD545/lecturer-in-probability-and-modern-statist… > > For information on the department and the Birmingham Combinatorics and > Probability group, please visit > > http://web.mat.bham.ac.uk/combinatorics/ > > Application deadline: 13 December 2017 > > For informal enquiries, please contact Professor Daniela Kühn, > d.kuhn(a)bham.ac.uk or Professor Deryk Osthus, d.osthus(a)bham.ac.uk.

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Bernoulli Society New Researcher Award
by Antonio Di Crescenzo 15 Nov '17

15 Nov '17

> > > > > >Dear fellow members of the Bernoulli Society, >The Bernoulli Society welcomes submissions to >the New Researcher Award. The details about the >award can be found below. We would very much >appreciate it if you could share this >information with anyone who might be interested >in applying. >Many thanks in advance! > >Best wishes, >Parthanil Roy - Youth Representative >Leonardo T. Rolla - Membership Secretary > > >Bernoulli Society New Researcher Award > >The Bernoulli Society welcomes submissions to >the New Researcher Award. Each awardee will >deliver a 30-minute talk at the ISI World >Statistics Congress in Malaysia in 2019, and >will receive funding (up to EUR 1000) to >compensate for travel and other expenses. >Bernoulli News will publish announcements >including each awardee's picture and a piece >about their work. > >Candidates should submit a 3-page synopsis of >their presentation, along with their CV, >to <mailto:ber.soc.yra@gmail.com>ber.soc.yra(a)gmail.com by February >28, 2018. > >To be eligible, candidates should: > >- be active researchers in Mathematical Statistics; >- at the time of submission, be regular members of the Bernoulli Society >- have received their PhD within the last >5 years (female candidates get 1 extra year for >each child born since receiving the PhD). > > > --

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MSP - 2018
by gianluca cassese 14 Nov '17

14 Nov '17

The University of Milano Bicocca jointly with the University of Pavia and University Bocconi is pleased to announce the first workshop on: "THE MATHEMATICS OF SUBJECTIVE PROBABILITY" to be held in Milan on 3-5 September 2018. We aim at putting together researchers from such diverse fields as probability, statistics, gambling, game theory or economics who view probability as a mathematical model of subjective attitudes. Contributed talks and sessions are welcome and will undergo a regular refereeing process (submission deadline: March 31; notification of acceptance: April 30). Further details: https://sites.google.com/view/MSP-2018 The Organizing Committee: Gianluca Cassese, Pietro Rigo and Barbara Vantaggi -- *Gianluca Cassese* ------------------------------------------------------------------------------- Dipartimento di Economia, Metodi Quantitativi e Strategie di Impresa Università degli Studi di Milano-Bicocca via Bicocca degli Arcimboldi, 8 - 20126, Milan, Italy Building U7 - Room 2097 -------------------------------------------------------------------------------

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seminario Chiara Corsato
by Emanuela Rosazza 13 Nov '17

13 Nov '17

Si avvisa che il giorno lunedì 20 novembre alle ore 15 presso l’Università di Milano- Bicocca (via degli Arcimboldi 8 - edificio U7, quarto piano- aula 4026) si terrà il seguente seminario: Speaker: Chiara Corsato (Università di Trieste) Titolo: “Weak Dutch Books: the lose-or-draw case with lower previsions” Abstract: This seminar is devoted to present some recent results obtained in the field of Imprecise Previsions. We introduce the general topic evidencing the link with risk measures and we concentrate on the notions of convex and Williams' coherent imprecise previsions. These concepts are interpreted in a betting scheme, following de Finetti's approach to subjective probability. Uncertainty assessments for imprecise previsions based on those consistency conditions require that the suprema of certain random numbers, interpreted as gains, are non-negative. The extreme situation that a supremum is zero represents what is called a Weak Dutch Book (WDB). The core of this presentation aims to analyse the properties of WDBs with convex and Williams' coherent imprecise previsions. Namely, we show that WDB assessments ensure a certain `local precision' property and imply, in the agent's evaluation, some kind of `protection' against real losses. Further, these properties vary with the consistency notion we adopt, tending to vanish with the weaker one of convexity. A generalisation of the classical strict consistency notions is also discussed, in order to rule out the extreme situations caused by WDBs. Tutti gli interessati sono invitati a partecipare. Un saluto cordiale, 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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Assistant Professor and Postdoctoral Fellow in Financial Mathematics at Dublin City University
by Paolo Guasoni 11 Nov '17

11 Nov '17

Dear Colleague, Dublin City University has two openings in Financial Mathematics: Assistant Professor (Permanent) https://www4.dcu.ie/sites/default/files/hr/lecturer_financial_maths_nov_201… Postdoctoral Fellow (Two-year) https://www4.dcu.ie/sites/default/files/hr/postdoct_financial_maths_nov_201… The closing date for both applications is January 7th, 2018. With best regards, Paolo Guasoni -- *Séanadh Ríomhphoist/Email DisclaimerTá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://www4.dcu.ie/iss/seanadh-riomhphoist.shtml>This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://www4.dcu.ie/iss/email-disclaimer.shtml>* -- <https://www.facebook.com/DCU/> <https://twitter.com/DublinCityUni> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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Seminario MARIUCCI
by Matteo Ruggiero 10 Nov '17

10 Nov '17

************************************************************************ STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO ************************************************************************ Venerdi 17 Novembre 2017, alle ore 12:00, presso il nuovo edificio del Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terra' il seguente seminario: ------------------------------------------------ Ester MARIUCCI (Humboldt-Universität zu Berlin) WASSERSTEIN DISTANCES AND OTHER METRICS FOR DISCRETELY OBSERVED LÉVY PROCESSES We present some upper bounds for the Wasserstein distance of order p between the product measures associated with the increments of Lévy processes with possibly infinite Lévy measures. As an application, we derive an upper bound for the total variation distance between the marginals of Lévy processes with possibly infinite Lévy measures and non-zero Gaussian components. A lower bound for the Wasserstein distance of order p is also presented. Furthermore, we investigate the relation between Wasserstein distances, total variation distance and Toscani-Fourier distance; several results connecting these metrics are discussed. This is a joint work with Markus Reiß. ------------------------------------------------ Tutti gli interessati sono invitati a partecipare. Il seminario e' organizzato dalla "de Castro" Statistics Initiative (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

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