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New PhD position in probability at Sussex
by Enrico Scalas 10 Jun '19

10 Jun '19

Car* collegh*, vi prego di inviare questo annuncio a persone interessate. Grazie e cordiali saluti, Enrico Scalas Professor of Statistics and Probability University of Sussex UK -- PhD studentship on Large Deviation Rate Function and Variance for Inhomogeneous Corner Growth Processes Department of Mathematics, University of Sussex Supervisors: Nicos Georgiou, Enrico Scalas Deadline for application: 1 September 2019 12:00 (GMT) Details at: https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1081-PhD-stude… https://www.jobs.ac.uk/job/BSW711/phd-studentship-on-large-deviation-rate-f… Contacts: Dr Nicos Georgiou (n.georgiou(a)sussex.ac.uk) and Prof Enrico Scalas (e.scalas(a)sussex.ac.uk)

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Set valued risk measures and Systemic risk measures at LUISS
by Sara 10 Jun '19

10 Jun '19

On July 2 from 10:30 to 13:00 - Room 207, at LUISS, viale Romania 32, Roma, prof. Cagin Ararat from Bilkent University will give two talks: Talk I Title: Set-valued quasiconvex risk measures Abstract: Set-valued risk measures are defined naturally in environments where it is necessary to measure the risk of a random vector. In this talk, we consider set-valued risk measures that are defined as compositions of two set-valued functions. This class of risk measures is rich enough to cover many examples of the systemic risk measures studied in the recent literature. We pay special attention to the properties of the constituent set-valued functions that guarantee the quasiconvexity of the composite risk measure. It turns out that the so-called natural quasiconvexity property, an old but not so well-known property between convexity and quasiconvexity, plays a key role in the study of these risk measures. The main results provide dual representations for quasiconvex, naturally quasiconvex and convex compositions in terms of the dual functions of the constituents. Talk II Title: Computation of systemic risk measures Abstract: Various approaches to measure systemic risk have been proposed in the recent literature using multivariate functionals. These functionals are typically defined in terms of a so-called aggregation function, which takes into account the interconnectedness of the institutions in the network, and a univariate risk measure applied to the random output of the aggregation function. In this talk, we specialize into the Eisenberg-Noe and Rogers-Veraart network models and formulate the corresponding systemic risk measures as large-scale vector optimization problems. While the former model yields a convex problem which can be solved efficiently using non-smooth optimization techniques, the efficient frontier for the latter model turns out to be the boundary of a non-convex set. -- 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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Lecturer in Financial Mathematics at the University of Leeds
by Tiziano De Angelis 09 Jun '19

09 Jun '19

Dear All, Could you please bring to the attention of potential candidates the advert below for a lecturer position in the School of Mathematics at the University of Leeds https://jobs.leeds.ac.uk/Vacancy.aspx?ref=MAPMA1109 The deadline for application is 4 July 2019. For further information about the Probability and Financial Mathematics group at Leeds please visit https://physicalsciences.leeds.ac.uk/info/152/probability_and_financial_mat… Thank you and best wishes Tiziano

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seminario Drivas a Pisa
by Marco Romito 09 Jun '19

09 Jun '19

dear all this is to announce that Theodore Drivas (Princeton University) will give a talk on *next Wednesday, June 12* at 11am in Sala Seminari, Dipartimento di Matematica, Università di Pisa (largo B. Pontecorvo 5, 56127 Pisa). cheers m. *Title*: /Spontaneously stochastic solutions in dynamical systems with singularities/ *Abstract*: We consider a class of dynamical systems described by ordinary differential equations with an isolated singularity, where the singularity is characterized by the lack of Lipschitz continuity. Singularities are common in applications both for ODEs (e.g., particles collisions) and PDEs (e.g., finite-time blowup in fluid models). The fundamental obstacle is that solutions cannot be continued past the singularity uniquely: typically, there are infinitely many solutions. The conventional way to proceed is to define a regularization limit, such as vanishing viscosity or noise. It turns out that there are structurally stable situations when such a limit is not sensitive to a particular form of the regularization. This is explained by the analysis of attractors for the rescaled (non-singular) dynamical system and their ergodic properties. What is even more surprising is that solutions in this limit may become probabilistic (spontaneously stochastic) with the unique probability measure past the singularity. We will present rigorous results and discuss applications of this phenomenon.

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Seminario di Peter Parczewski a Bologna
by Alberto Lanconelli 08 Jun '19

08 Jun '19

Statistics Seminars 2019 Martedì 11 Giugno 2019 ore 14,30 Aula III, secondo piano, Dipartimento di Scienze Statistiche "Optimal approximation of (anticipating) SDEs" Dott. Peter Parczewski, Mannheim University Abstract We present a general mean squared error expansion for optimal approximation of Wiener functionals based on finite and equidistant observations of the Brownian motion.The expansion is given in terms of Malliavin calculus and the terms involved exhibit Hilbert space structures. This gives lower error bounds for arbitrary numerical schemes which are constructed from an equidistant information of the Brownian motion. Due to this expansion we are able to recover and improve many results on optimal approximation of Ito SDEs and anticipating SDEs, where the integral is interpreted in Skorohod sense, a mean zero extension of the Ito integral to nonadapted integrands. Tutti gli interessati sono invitati a partecipare Alberto Lanconelli Dipartimento di Scienze Statistiche "Paolo Fortunati" Alma Mater Studiorum - Università di Bologna

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Scholarships for Events on Complex Systems
by Mateusz Wilinski 07 Jun '19

07 Jun '19

We are happy to announce that the Scholarships for Events on Complex Systems (SECS) are back! They are dedicated to young researchers from Complex Systems Society, who need funds to attend complex systems related events. More information at: yrcss.cssociety.org/secs/ <https://l.facebook.com/l.php?u=http%3A%2F%2Fyrcss.cssociety.org%2Fsecs%2F%3…> Best wishes, on behalf of the YRCSS Advisory Board Mateusz Wilinski

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Seminario Gubinelli Politecnico di Torino, 12 giugno ore 15
by Enrico Bibbona 07 Jun '19

07 Jun '19

Gentili Colleghi, vi giro la pubblicità di un seminario di Massimiliano Gubinelli che si terrà qui al Politecnico di Torino mercoledì 12 giugno alle 15. http://www.politocomunica.polito.it/events/appuntamenti/(idnews)/13214 Cordiali saluti, Enrico Bibbona Enrico Bibbona Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino Caro Enrico, Volevo segnalarti questo seminario su Stochastic PDEs: http://www.politocomunica.polito.it/events/appuntamenti/(idnews)/13214 E’ gia’ stato mandato l’avviso dal Dipartimento ma, sai, ne riceviamo tanti e puo’ sfuggire. Gubinelli e’ una massima autorità in materia (piu’ di 2000 citazioni, lavori su Inventiones, J. Amer. Math. Soc., Comm. Pure Appl. Math., etc.) e forse puo’ interessare anche altri colleghi della tua area. Grazie, ciao, Fabio

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Seminario di Probabilita' a Roma Tre martedi 11-06-19
by Pietro Caputo 07 Jun '19

07 Jun '19

Speaker: Alexandre Gaudilliere (CNRS Marseille, France) Martedi' 11 Giugno 2019 ORE 14:30 Dipartimento di Matematica e Fisica Universita' degli Studi Roma Tre Largo San Leonardo Murialdo,1 - Pal.C - Aula 211 Titolo: Random forests and Markovian spectra Abstract: Starting from a theorem of Michelli and Willoughby we will see how some loop-erased random walk make a bridge between the spanning forest of a graph and the spectrum of its Laplacian. We will give more examples of the links between these two sets, introducing in particular a fragmentation and coalescence process that allows for the study of this spectrum from a probabilistic point of view.

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Bando RTD A - SECS S06 Metodi matematici dell'economia e delle scienze attuariali e finanziarie - Università di FIRENZE
by Maria Elvira Mancino 07 Jun '19

07 Jun '19

Bando Ricercatore art. 24, comma 3, lett. a) Decreto rettorale, 17 aprile 2019, n. 476 (prot. 71903) pubblicato all'Albo Ufficiale (n. 5533) dal 15 maggio al 13 giugno 2019 Avviso pubblicato in G.U. - 4° Serie Speciale – Concorsi ed esami, n. 38 del 14 maggio 2019 scadenza per la presentazione delle domande: 13 giugno 2019 13/D4 - Metodi matematici dell'economia e delle scienze attuariali e finanziarie Settore scientifico disciplinare SECS-S/06 https://www.unifi.it/cmpro-v-p-11560.html

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Seminario GHOSHAL
by Matteo Ruggiero 07 Jun '19

07 Jun '19

STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO Venerdì 14 Giugno 2019, alle ore 12:00, presso il nuovo edificio del Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Subhashis GHOSHAL (North Carolina State University) POSTERIOR CONTRACTION AND CREDIBLE SETS FOR FILAMENTS OF REGRESSION FUNCTIONS The filament of a smooth function f consists of local maximizers of f when moving in a certain direction. The filament is an important geometrical feature of the surface of the graph of a function. It is also considered as an important lower dimensional summary in analyzing multivariate data. There have been some recent theoretical studies on estimating filaments of a density function using a nonparametric kernel density estimator. In this talk, we consider a Bayesian approach and concentrate on the nonparametric regression problem. We study the posterior contraction rates for filaments using a finite random series of B-splines prior on the regression function. Compared with the kernel method, this has the advantage that the bias can be better controlled when the function is smoother, which allows obtaining better rates. Under an isotropic Holder smoothness condition, we obtain the posterior contraction rate for the filament under two different metrics — a distance of separation along an integral curve, and the Hausdorff distance between sets. Moreover, we construct credible sets of optimal size for the filament with sufficient frequentist coverage. We study the performance of our proposed method through a simulation study and apply on a dataset on California earthquakes to assess the fault-line of the maximum local earthquake intensity. ------------------------------------------------ Tutti gli interessati sono invitati a partecipare. Il seminario è 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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