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AP@R international workshop
by Antonio Di Crescenzo 19 Feb '16

19 Feb '16

> >From: Joshua Vincent Ross <joshua.ross(a)adelaide.edu.au> >To: Joshua Vincent Ross <joshua.ross(a)adelaide.edu.au> >Subject: AP@R international workshop > > >Dear Colleague, > >Applied Probability @ The Rock (AP@R) is an >international workshop taking place at Ayers >Rock Resort in central Australia between Monday >17th and Friday 21st April, 2017. It will bring >together leading researchers from around the >world to share recent discoveries and begin new >collaborations. It will also provide an >opportunity to celebrate the 60th birthday of >one of Australia's prominent Applied >Probabilists, Prof. Phil Pollett. > >The workshop aims to showcase the full range of >topics in Applied Probability, and includes >particular themes of "Networks in Queueing and >Telecommunications", "Stochastic Models in >Biology" and "Limits and Approximation". Invited >keynote speakers are Prof. Frank Kelly, Prof. >Ruth Williams, Prof. Andrew Barbour and Prof. >Erik van Doorn. > >For further information, please visit: ><http://www.maths.adelaide.edu.au/APatR/> >http://www.maths.adelaide.edu.au/APatR/. > >Best wishes, >Josh. >__ >Dr Joshua Ross >ARC Future Fellow & > Associate Professor in Applied Mathematics >The University of Adelaide ><http://www.maths.adelaide.edu.au/joshua.ross/>http://www.maths.adelaide.edu.au/joshua.ross/ --

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Seminario di Matematica Applicata - A. Torrente
by Alessandra Micheletti 18 Feb '16

18 Feb '16

Apologies for cross posting --------------------------------- SEMINARIO DI MATEMATICA APPLICATA Giovedi 25 Febbraio 2016, ore 10.30 Aula Rappresentanza, Dipartimento di Matematica (Via Saldini 50, Milano) Robust statistical techniques for the analysis of high dimensional gene expression data Dr. Aurora Torrente Gregorio Millan Institute Escuela Politecnica Superior Universidad Carlos III de Madrid ABSTRACT Microarray and Next Generation Sequencing experiments provide data on the expression level of thousands of genes simultaneously, suggesting several serious challenges in the pre-processing, management and analysis of these high dimensional datasets. In this talk, we will describe some robust statistical tools, based on the concept of functional data depth, which measures the centrality of a function within a sample. These techniques include, for example, the scale curve, as a way to visualise the dispersion of a set of multivariate observations, and supervised classifications techniques, to assign new observations to one of a given set of (known) groups. When these tools make use of the so-called Modified Band Depth, adapted to high-dimensional data, they prove to be very efficient and of low computational cost, specially when a suitable implementation is considered. The use of these techniques will be illustrated on real gene expression data. La S.V. e` cordialmente invitata. ----------------------------------------------------------------------- Home page del seminario: http://www.mat.unimi.it/users/veeser/sma/ Il seminario e` organizzato da: - Dipartimento di Matematica dell'Universita` di Milano, - Scuola di Dottorato in Scienze Matematiche. -- ------------------------------------ Alessandra Micheletti Associate Professor - Probability and Mathematical Statistics Dept. of Mathematics Università degli Studi di Milano via Saldini 50, 20133 Milano, Italy phone: +39-02503-16130 fax: +39-02503-16090 http://users.mat.unimi.it/users/michel <http://www.mat.unimi.it/users/michel>

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Seminario MARTA PITTAVINO @ UniTo
by Federico Polito 17 Feb '16

17 Feb '16

********************************************************************* SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA "G. PEANO" UNIVERSITA' DEGLI STUDI DI TORINO ********************************************************************* Venerdì 4 Marzo 2016 alle ore 15:00 in Aula C presso il Dipartimento di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo Alberto 10, La Dott.ssa MARTA PITTAVINO (University of Zurich) terrà un seminario dal titolo "Modelling multivariate data with additive Bayesian networks" Abstract: Bayesian networks are a form of graphical model which derives from empirical data a directed acyclic graph describing the dependency structure between random variables. Especially, additive Bayesian networks (ABNs) extend the usual generalized linear models to multiple dependent variables without involving dimension reduction. Existing software for working with ABNs are useful for dealing with these models for heterogeneous applications in systems epidemiology and biology. However, limitations in terms of computation and feasibility can be still open challenges. In this talk, an introduction to ABN model will be provided, together with a description of the R package abn, whereby applications of these models to systems epidemiology and biology are showed. Moreover, a theoretical development will be presented as an initial step to overcome open questions. Specifically, the result of fitting an ABN to a data set is translated into optimizing the likelihood of observing the data under the studied model: the marginal likelihood (ABN network score). A novel conjugate prior distribution for ABNs models is introduced that helps us to address the goodness of fit computation and the posterior parameter estimation. Tutti gli interessati sono invitati a partecipare. -- Federico Polito Department of Mathematics University of Torino Via Carlo Alberto, 10 10123, Torino, Italy Email: federico.polito(a)unito.it Tel: +39 011 6702937 Web: www.federicopolito.it

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Fwd: Associate Professorship of Probability, University of Oxford
by Francesco Caravenna 17 Feb '16

17 Feb '16

Ricevo e inoltro. > UNIVERSITY OF OXFORD > > MATHEMATICAL, PHYSICAL AND LIFE SCIENCES DIVISION > > DEPARTMENT OF STATISTICS in association with Lady Margaret Hall > > > > Associate Professorship of Probability > > The combined University and College salary will be on a scale from £45,066 p.a. (plus substantial additional benefits, including free college housing or a housing allowance of £7,800) > > > > Applications are invited for the 5-year fixed term post of Associate Professor of Probability, to be held in the Department of Statistics, in association with a Fellowship and Tutorship at Lady Margaret Hall, with effect from 1 May 2016 or as soon as possible thereafter. > > > The main duties of the post are to undertake research in probability (broadly interpreted) and to teach both for the department (in lectures, problems classes and project supervision) and for the college (in tutorials). The postholder will also be expected to participate in the administration of the department and the college, and in the pastoral care of the mathematics students at Lady Margaret Hall. > > You will be an outstanding individual with the potential to be a leader in your field. You will have a doctorate in the field of mathematical sciences, or a related subject, and a proven research record of high quality at an international level in the area of probability, as well as the potential to attract research funding. You will have the skills and enthusiasm to teach a wide range of topics in mathematics and statistics, provide supervision of students, and undertake tutorial teaching. You will work at the Department of Statistics, 24–29 St Giles’, Oxford, OX1 3LB and at Lady Margaret Hall, Norham Gardens, Oxford OX2 6QA. > > To apply for this role and for further details, including the job description and selection criteria, please click on the link below: > > https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs… > > > > Queries about this post should be addressed to: Professor Alison Etheridge at etheridg(a)stats.ox.ac.uk or Professor Simon Myers at myers(a)stats.ox.ac.uk. > > The closing date for applications is 12:00 noon (UK time) Wednesday 30th March 2016. > > Interviews are planned for Wednesday 20th April 2016. > > Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in Oxford. > > The University is an Equal Opportunities Employer. > >

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International Workshop on Applied Probability, Toronto, June 20-23, 2016
by Antonio Di Crescenzo 16 Feb '16

16 Feb '16

Dear Colleagues, You are cordially invited to attend the Eighth International Workshop on Applied Probability (IWAP2016), which will take place in Toronto, Canada, on June 20-23, 2016. This will mark the first Canadian IWAP, following previous successful IWAPs held in Turkey (2014), Israel (2012), Spain (2010), France (2008), USA (2006), Greece (2004), and Venezuela (2002). The venue of IWAP2016 is located in the heart of vibrant downtown Toronto, and is easily accessible by road, rail, and air. For more details, please visit the conference website <http://iwap2016.com/>http://iwap2016.com . IWAP2016 aims to bring together researchers and scientists engaged in applied probability, covering methodology and applications from diverse fields such as mathematics, statistics, physics, computer science, economics, engineering, biology, chemistry, and social and health sciences. In addition to research presentations, there will be ample networking opportunities throughout the event. Abstracts for contributed presentations will be accepted until April 15, 2016. Research presenters will be invited to submit for journal publication in a special issue of Methodology and Computing in Applied Probability. Should you have any questions regarding IWAP2016, please feel free to contact <mailto:info@iwap2016.com>info(a)iwap2016.com. Yours sincerely, Wendy Lou & Joseph Glaz Co-Chairs of IWAP2016 --

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Avviso seminario_Piet Van Mieghem_25 febbraio_ore 10.00
by Stefano Bonaccorsi 15 Feb '16

15 Feb '16

TIME-VARYING SIS PREVALENCE IN NETWORKS: THEORY AND A NEW APPROXIMATE FORMULA 25 febbraio 2016 *Luogo:* Dipartimento di Matematica, via Sommarive, 14 - Povo (TN) - Aula Seminari *Ore* 10:00 *Relatore:* - *Piet Van Mieghem** (*TU Delft Olanda*)* *Abstract: * Currently, epidemic spreading processes on networks are popular to model diffusion phenomena in real-world networks. After reviewing some basics about the continuous-time SIS Markov process on networks, we will focus on the prevalence, the average fraction of infected nodes in the network. Based on a recent exact differential equation containing the Laplacian matrix of the underlying graph, the time dependence of the SIS prevalence is first studied and then upper and lower bounded by a new, explicit analytic function of time. Our new approximate formula obeys a Riccati differential equation and bears resemblence to the classical expression in epidemiology of Kermack and McKendrick (1927), but enhanced with graph specific properties, such as the algebraic connectivity, the second smallest eigenvalue of the Laplacian of the graph. A comparison with the N-Interwined Mean-Field Approximation (NIMFA) and simulations of the exact continuous-time Markovian SIS process on a graph exhibit the accuracy and the potential of the new analytic formula. *Referente: *Stefano Bonaccorsi

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SPDE&A 2016 - Levico Terme
by Stefano Bonaccorsi 15 Feb '16

15 Feb '16

Dear Collegues, we are organizing the 10th edition of the Conference *Stochastic Partial Differential Equations and Applications* In Levico Terme (Trento, Italy) from May 31 to June 4, 2016. Our aim is to put together young researchers and well-known mathematicians active in the field in a stimulating environment, in order to explore current research trends, propose new developments and discuss open problems. The list of main speakers includes Freddy Bouchet, École Normale Supérieure de Lyon Dan Crisan, Imperial College London Tadahisa Funaki, University of Tokyo Massimiliano Gubinelli, Hausdorff Center for Mathematics, Bonn Giovanni Jona-Lasinio, Università di Roma La Sapienza J.C. Mattingly, Duke University (tbc) Felix Otto, Max Planck Institute for Mathematics in the Sciences, Leipzig Laure Saint-Raymond, École Normale Supérieure, Paris Armen Shirikyan, University of Cergy-Pontoise Panagiotis E. Souganidis, University of Chicago Lorenzo Zambotti, Université Paris 6 – Pierre et Marie Curie For all details, please refer to the conference web page: https://sites.google.com/site/levico2016/ The conference will be held at Bellavista Relax Hotel in Levico Terme (Trento, Italy). No registration fee is required to attend the conference; however, no contribution for travel or lodging is available. For further information please contact: Mr. A. Micheletti Secretary of CIRM Fondazione Bruno Kessler Via Sommarive 14 - Povo I-38123 Trento, Italy e-mail: augusto.micheletti(a)unitn.it The organizing Committee: Franco Flandoli (Università di Pisa) Arnaud Debussche (ENS Cachan Bretagne) Michael Röckner (Bielefeld) Stefano Bonaccorsi (Università di Trento).

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Prof. Youri Davydov (Lille 1) PhD Lectures on Probability and Stochastic Processes
by Francesca Greselin 13 Feb '16

13 Feb '16

Nei giorni 16-17-18-19 febbraio 2016, dalle ore 9 alle 12, presso l'aula seminari del Dipartimento di Statistica e Metodi Quantitativi della Università di Milano-Bicocca, il prof. Youri Davydov del Laboratoire Painlevé, dell'Universitè Lille 1, terrà un corso su "Probability (II parte)" e nella settimana successiva (giorni 22-23-24 e 25 febbraio), continuerà con "Stochastic Processes" I corsi si svolgono nell'ambito del programma di internazionalizzazione del Dottorato in Statistics and Financial Mathematics ed è indirizzato a studenti, dottorandi e giovani ricercatori di Statistica, Matematica, e Finanza. La partecipazione è gratuita ma per motivi organizzativi vi chiediamo di iscrivervi mandando una email a nicoletta.alghisi(a)unimib.it. Di seguito il syllabus. PHD Lectures on Probability (II) and Stochastic Processes Prof. Youri Davydov Laboratoire Painlevé - Université Lille 1 Syllabus Probability (II) • Characteristic function • Independence of random variables • Convergence of random variables • Convergence of distributions • Central Limit Theorem • Markov Chains (or Conditional expectations and probabilities). References 1. Shiryaev, A. N. (1996). Probability. Graduate Texts in Mathematics #95. 2. Jacod, J., & Protter, P. E. (2003). Probability essentials. Springer Science & Business Media. Stochastic processes • Definitions and general notions • Examples • Processes with independent increments • Stationary processes • Gaussian processes • Martingales. References 1. Gikhman, I. I., & Skorokhod, A. V. (1969). Introduction to the theory of random processes. Philadelphia: WB Saunders. 2. Lamperti, J. (2012). Stochastic processes: a survey of the mathematical theory (Vol. 23). Springer Science & Business Media. 3. Resnick, S. I. (1992). Adventures in Stochastic Processes, Birkhauser, Boston. Cordiali saluti Francesca Greselin Department of Statistics and Quantitative Methods

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assegno di ricerca a Pisa
by Marco Romito 12 Feb '16

12 Feb '16

Alla pagina https://www.unipi.it/ateneo/bandi/assegni/pra2016/matematica/14mar2016/inde… è stato pubblicato un bando (disponibile in italiano e inglese) per un assegno di ricerca annuale presso il dipartimento di Matematica dell'università di Pisa con scadenza il 14 marzo 2016 su ``Studio di fenomeni singolari in problemi deterministici e stocastici'' Per ulteriori informazioni: Marco Romito romito(a)dm.unipi.it A call for a one-year ``assegno di ricerca'' is open, with deadline March 14, 2016, at the department of Mathematics, Pisa university, on ``Analysis of singular phenomena in deterministic and stochastic problems'' The details of the call (english and italian versions available) can be found at https://www.unipi.it/ateneo/bandi/assegni/pra2016/matematica/14mar2016/inde… For further information: Marco Romito romito(a)dm.unipi.it

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Assistant Professor position - Statistics - Operations Research
by Antonio Di Crescenzo 12 Feb '16

12 Feb '16

Assistant Professor position (tenure track) in the Department of Statistics, Universidad Carlos III de Madrid The Department of Statistics of Universidad Carlos III de Madrid has one opening for Full-Time Tenure-Track Assistant Professor, to teach courses in English and Spanish, starting September 1st, 2016. Potential candidates must have a Ph.D. and verifiable research experience in at least one of the following fields: - Statistics - Operations Research The position is offered for a one year period, renewable in accordance with the Department´s promotional criteria available on the website. Estimated Salary: 32.335 euros gross per year divided into 14 payments. Deadline for applications: March 15, 2016. For more information about Universidad Carlos III de Madrid and the Department of Statistics, you can visit the web page http://www.est.uc3m.es. All qualified candidates are encouraged to apply. The Universidad Carlos III de Madrid encourages applications from all qualified individuals and people with disabilities. Applicants must have valid documentation to work in Spain before starting. Interested candidates should send via email a statement of interest including the objectives to be achieved in the position and the curriculum vitae. Also the candidates should ask two referees to send letters of reference by March 15 to the following address: Departamento de Estadística Personal de Administración y Servicios Francisco García Saavedra E- Mail: fgs(a)pa.uc3m.es The Department could invite candidates from a short list to present a Research Seminar as part of the selection process during April. --

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