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Fwd: Mathematics for Industry: funding calls open
by Alessandra Micheletti 18 Nov '15

18 Nov '15

Con preghiera di diffusione. ---------- Forwarded message ---------- From: MI-NET <MI-NET(a)bath.ac.uk> Date: Tue, Nov 17, 2015 at 8:52 PM Subject: Mathematics for Industry: funding calls open To: Cc: MI-NET <MI-NET(a)bath.ac.uk> ***Funding calls open*** (Apologies for cross posting) We’d be very grateful if you could help us publicise the following calls widely, and encourage your colleagues - especially early-career investigators (researchers within 8 years of their PhD) - to apply! As part of the recently-established Mathematics for Industry Network ( <http://www.mi-network.org>MI-NET <http://mi-network.org/>) EU COST Action, whose aim is to facilitate more effective widespread application of mathematics to all industrial sectors, we are pleased to announce that *funding calls* for - One day themed *Industrial Workshops <http://mi-network.org/industrial-workshops/> (*up to €1k) - Mathematical Modelling *Training Weeks <http://mi-network.org/modelling-weeks/>* (up to €10k) - *Research visits* to industrial or academic institutions (*Short-Term Scientific Missions* <http://mi-network.org/short-term-scientific-missions/>) (up to €2k) [Short-Term Scientific Missions can be of 5-180 days duration, and can, for example, be used to participate in existing European Study Groups with Industry, please see the webpage <http://www.maths-in-industry.org/future/> for upcoming workshops]. - *European Study Groups* <http://mi-network.org/study-groups-with-industry/> (*problem-solving workshops*) with Industry (up to €10k) are now open for applications from academic researchers or industrial practitioners from any COST country <http://www.cost.eu/COST_Actions/tdp/TD1409?parties> that is part of Action TD1409. The next deadline for all calls is the *30th November 2015*. Applications for activities which will take place before *30th April 2016* are particularly encouraged. Best wishes, Jo and Filipa Dr Joanna Jordan Dr Filipa Vance http://mi-network.org/ @Maths4Industry <https://twitter.com/Maths4Industry> -- ------------------------------------ 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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Statistics Faculty Positions at The Ohio State University, Columbus, OH, USA
by Peruggia, Mario 13 Nov '15

13 Nov '15

Description: The Department of Statistics in the College of Arts and Sciences at The Ohio State University invites applications for three tenure track assistant professor positions and an open rank position, to begin effective Autumn Semester 2016. We seek energetic researchers in areas of modern statistical methods, computation, and data analysis with preference for expertise as follows: For the open-rank position, expertise in statistics and machine learning. An appointment at the associate or full professor level should have a demonstrated record of scholarly leadership. The assistant professor positions span a range of areas. One position is directed toward environmental analytics; the second position is directed toward predictive modeling for biological applications; the third position is directed toward the design and/or statistical modeling of computer experiments. In all cases, commitments to both methodological research and scientific collaboration are required. Interests in applications to decision analysis in the presence of uncertainty, complex systems, including physical and biological systems as well as those involving human behavior and well-being are of special interest. Faculty members are expected to be dedicated to the development and delivery of educational programs at all levels. Experience working in interdisciplinary teams and mentoring members of underrepresented groups is a plus. All positions are aligned with Ohio State's Discovery Themes Initiative, a significant faculty hiring investment in key thematic areas in which the university can build on its culture of academic collaboration to make a global impact: http://discovery.osu.edu/ Qualifications: Candidates are expected to have a Ph.D. in Statistics, or a related area, by the start of Autumn Semester 2016, and to present evidence of excellence in teaching and in both methodological and collaborative research. Further information about the department can be found at http://www.stat.osu.edu/ About Columbus: The Ohio State University campus is located in Columbus, the capital city of Ohio. Columbus is the center of a rapidly growing and diverse metropolitan area with a population of over 1.5 million. The area offers a wide range of affordable housing, many cultural and recreational opportunities, excellent schools, and a strong economy based on government as well as service, transportation and technology industries (see http<http://liveworkplaycolumbus.com/>://<http://liveworkplaycolumbus.com/>liveworkplaycolumbus<http://liveworkplaycolumbus.com/>.<http://liveworkplaycolumbus.com/>com<http://liveworkplaycolumbus.com/>/<http://liveworkplaycolumbus.com/>). Columbus has consistently been rated as one of the Top U.S. cities for quality of life, and was selected as one of the Top 10 cities for African Americans to live, work, and play by Black Enterprise magazine. Additional information about the Columbus area is available at http://columbus.org/ Application Instructions: Candidates for all positions should apply to Academic Jobs Online at: https://academicjobsonline.org/ajo/jobs/6502. All candidates will be considered for all advertised positions, as judged appropriate by the search committee. Therefore, a single application suffices for all. Complete applications include a cover letter, curriculum vitae, statements of research and teaching interests, and three letters of reference, on letterhead, submitted directly to the Academic Jobs Online posting by the writers. Review of applications will begin on November 1, 2015. Applications will continue to be accepted until the position is filled. Inquiries may be directed to facultysearch(a)stat.osu.edu<mailto:facultysearch@stat.osu.edu>. The Ohio State University is committed to establishing a culturally and intellectually diverse environment, encouraging all members of our learning community to reach their full potential. We are responsive to dual-career families and strongly promote work-life balance to support our community members through a suite of institutionalized policies. We are an NSF Advance Institution and a member of the Ohio/Western Pennsylvania/West Virginia Higher Education Recruitment Consortium (HERC). The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, or protected veteran status. ------------------------------ Mario Peruggia Professor of Statistics The Ohio State University ------------------------------

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Seminario JENKINS
by Matteo Ruggiero 13 Nov '15

13 Nov '15

******************************************************************* STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO ******************************************************************* Venerdi 20 Novembre 2015 alle ore 12:00, presso l’Aula Rossa del Collegio Carlo Alberto, Moncalieri (TO), si terra' il seguente seminario: Paul JENKINS (University of Warwick) EXACT SIMULATION OF THE WRIGHT-FISHER DIFFUSION The Wright-Fisher family of diffusion processes is a class of evolutionary models widely used in population genetics, with applications also in finance and Bayesian statistics. Simulation and inference from these diffusions is therefore of widespread interest. However, simulating a Wright-Fisher diffusion is difficult because there is no known closed-form formula for its transition function. In this talk I show how it is possible to simulate exactly from the scalar Wright-Fisher diffusion with general drift, extending ideas based on retrospective simulation. The key idea is to exploit an eigenfunction expansion representation of the transition function. This approach also yields methods for exact simulation from several processes related to the Wright-Fisher diffusion: (i) its moment dual, the ancestral process of an infinite-leaf Kingman coalescent tree; (ii) its infinite-dimensional counterpart, the Fleming-Viot process; and (iii) its bridges. This is joint work with Dario Spanò. Tutti gli interessati sono invitati a partecipare. Il seminario e' organizzato dalla "de Castro" Statistics Initiative (http://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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Prin 2015
by DI NARDO Elvira 12 Nov '15

12 Nov '15

Segnalo l’uscita del bando PRIN 2015 http://prin.miur.it/ Saluti, EDN -- ...................................................... Elvira Di Nardo Dept. Mathematics, Computer Science and Economics University of Basilicata Viale dell'Ateneo Lucano 10 I-85100 (Potenza) alternative address: dinardo.el(a)gmail.com (room) +390971205890 (cell.) +393470033068 (fax) + 390971205896 (skype) elvira.di.nardo (web) http://oldwww.unibas.it/utenti/dinardo/home.html ......................................................

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PRIN: Progetti di Ricerca di Rilevante Interesse Nazionale (fwd)
by Tiziano Vargiolu 11 Nov '15

11 Nov '15

Ricevo e inoltro. Cordiali saluti a tutti Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu -------------------------------------------------------------------------- ---------- Forwarded message ---------- Date: Wed, 11 Nov 2015 17:27:23 +0100 From: Antonella Basso <basso(a)unive.it> To: Soci AMASES <amases-soci(a)listserv.unive.it> Subject: [amases-soci] PRIN: Progetti di Ricerca di Rilevante Interesse Nazionale Cari Soci AMASES, vi inoltro il seguente avviso di pubblicazione del bando PRIN 2015 (pubblicato sul sito MIUR nelle more della registrazione da parte della Corte dei Conti). Cordiali saluti Antonella Basso ------------------------------------------- PRIN: Progetti di Ricerca di Rilevante Interesse Nazionale E' stato pubblicato il bando PRIN 2015. Il bando finanzia proposte in tutti i temi di ricerca e promuove collaborazioni tra enti, offrendo anche la possibilit? di partecipare individualmente. L'obiettivo del bando ? il rafforzamento delle basi scientifiche nazionali, anche in vista di una pi? efficace partecipazione alle iniziative europee. I progetti, di durata triennale, possono prevedere finanziamento massimo di 1 milione di euro, su un budget totale di 91 milioni; una quota ? riservata ai Principal Investigator di et? inferiore a 40 anni. L'Ufficio Ricerca Nazionale ? disponibile per informazioni e supporto alla presentazione di proposte progettuali. scadenza: 22 dicembre 2015 info: http://attiministeriali.miur.it/anno-2015/novembre/dd-04112015.aspx -- Antonella Basso Dipartimento di Economia Universit? Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 - Fax +39-041-2347444 E-mail address: basso(a)unive.it Web page: http://www.unive.it/nqcontent.cfm?a_id=415&persona=000893

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Two Positions at Otago University
by elisa＠mi.imati.cnr.it 11 Nov '15

11 Nov '15

Alla cortese attenzione dei possibili interessati. Lecturer/Senior Lecturer in Statistics (2 positions; both confirmation Path) DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF OTAGO Te Whare Wananga o Otago Dunedin, New Zealand To build our Statistics Group we are offering an opportunity for two permanent academic appointments that would suit motivated persons who wish to live in the vibrant southern city of Dunedin, gateway to the beautiful Otago Region of New Zealand. These positions are ideal for active researchers who want to further their career in an academic environment, particularly those interested in collaborative research with academics in medical and scientific fields. University of Otago is one of New Zealand's most research intensive Universities and members of the Department are well-placed to collaborate. Research interests of staff at Otago include environmental and ecological statistics, Bayesian inference, statistical theory, point processes, spatial statistics, biostatistics and bioinformatics. We welcome applications from candidates wishing to extend their research in any area of statistics. The successful applicants will teach statistics at the undergraduate and postgraduate levels, and supervise postgraduate research students. The research/teaching nexus is emphasised at Otago and we structure teaching loads to facilitate personal scholarship of our academics as well as to expose our students to research-informed teaching. Candidates should have a PhD in Statistics, a commitment to ongoing statistical research, and experience in teaching. We welcome international candidates and can provide financial assistance for relocation and visa applications. We encourage academics to maintain international research connections and support this with generous research and study leave provisions. The Department is committed to diversity in staffing and we encourage applications from women and other groups who are under-represented in the mathematical and statistical sciences. The University has generous parental leave provisions and operates childcare centres covering the period birth to eight years. The salary range for a Lecturer is $76,595 to $91,971 and for an exceptional candidate the Senior Lecturer salary range is $96,832 to $120,931. The positions are full time and permanent subject to the satisfactory completion of the confirmation path objectives for new appointees. Note that the U.S. equivalent level of appointment (for Lecturer) is Assistant Professor and that confirmation path is equivalent to tenure-track. Specific enquiries about these positions may be directed to Professor Richard Barker (phone +64 3 479 7756, email rbarker(a)maths.otago.ac.nz). Further details: https://otago.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=1501638 Information about the Department: www.maths.otago.ac.nz. Applications quoting reference number 1501638 close on Friday 15 January 2016. Please apply online at: www.otago.ac.nz/jobs Equal opportunity in employment is University policy. E tautoko ana Te Whare Wananga o Otago i te kaupapa whakaorite whiwhinga mahi. Additional information: Dunedin: www.cityofdunedin.com/ Dunedin City Council: www.dunedin.govt.nz/ Otago: www.otago.co.nz/ University of Otago: www.otago.ac.nz/ Immigration New Zealand: www.immigration.govt.nz/

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I: Multi-armed Bandit Workshop 2016 at STOR-i, Lancaster University, UK
by Cecchi, F. 10 Nov '15

10 Nov '15

Da: peter.jacko(a)gmail.com [peter.jacko(a)gmail.com] per conto di Peter Jacko [p.jacko(a)lancaster.ac.uk] Oggetto: Multi-armed Bandit Workshop 2016 at STOR-i, Lancaster University, UK -------- Multi-armed Bandit Workshop 2016 at STOR-i, Lancaster University, UK Dates: 11-12 January 2016 Webpage: http://www.stor-i.lancs.ac.uk/research/Workshops/Multi-armed-Bandit-Workshop The STOR-i Centre for Doctoral Training, which is a joint venture of the Operational Research group at the Department of Managment Science and the Statistics group at the Department of Mathematics at Lancaster University with strong links to the industry, will be holding a specialist workshop on multi-armed bandits. Lancaster university has a long tradition of research on this topic and several STOR-i PhD students have contributed to it. The multi-armed bandit problem has become classic because of its extreme difficulty. Researchers from different fields, especially statistics, operational research, applied probability and computer science, have made theoretical contributions that in the recent years started gaining wider popularity in practice due to the huge modelling power of this problem. This workshop will provide a forum for stimulating discussions, especially across the approaches that have developed independently of each other. The list of invited speakers includes recognised experts on reinforcement learning bandits, restless bandits, non-parametric bandits, Bayesian bandits, etc., covering both theoretical advances and applications in information technology, business & management, communications networks, health care, etc. We are grateful to EPSRC for support of the series of specialed workshops at STOR-i and to the London Mathematical Society for additional support for this workshop, in particular for significantly enhanced support for UK PhD students. Important Dates Friday 20th November 2015: Abstract submission and student bursaries request deadline Monday 14th December 2015: Registration deadline Monday 11th - Tuesday 12 January 2016: Workshop Invited Speakers (confirmed) Alexandra Carpentier - University of Potsdam, Germany Chris Gamble - Google UK Kevin Glazebrook - Lancaster University, UK Michael N. Katehakis - Rutgers University, USA Emilie Kaufmann - DYOGENE-INRIA, France Odalric Maillard - INRIA France Remi Munos - Google DeepMind, UK Yevgeny Seldin - University of Copenhagen, Denmark Sofia S. Villar - MRC Biostatistics Unit, UK Abstract Submission We invite researchers and practitioners to present their work on multi-armed bandits by submitting an abstract below. Please, send your name, e-mail, affiliation, title and abstract including a list of co-authors in a one-page PDF format by e-mail to stor-i-bandits(a)lancaster.ac.uk<mailto:stor-i-bandits@lancaster.ac.uk> by Friday 20th November 2015. We will aim at accommodating all the accepted abstracts as talks, but some may be accepted as posters. The topics of the workshop include, but are not limited to, the following: - multi-armed bandit formulations: classic, adversial, non-parametric, Bayesian, restless, stochastic, infinitely-armed, many-armed, arm-aquiring bandits, best-arm identification, etc. - theoretical aspects of exploration–exploitation tradeoff in sequential experimental design - optimality and convergence of randomised algorithms, index rules, and myopic policies - characterisation, computation, approximation and learning of (near-)optimal policies - applications of multi-armed bandit models in practice Student bursaries We have funding to support UK PhD students to attend the workshop. To apply, please email stor-i-bandits(a)lancaster.ac.uk<mailto:stor-i-bandits@lancaster.ac.uk> by Friday 20th November with a description of your current research topic and why the workshop is important to you. Registration To register, please go to the registration page: http://online-payments.lancaster-university.co.uk/browse/extra_info.asp?com… . The registration fee is £100 to be paid by Monday 14th December. Registration for STOR-i students is free, but is required by Monday 7th December. The conference fee includes access to the workshop presentations, meals and the conference dinner, but you will need to book your own accommodation. Programme The workshop will be held on Monday 11th and Tuesday 12th January 2016, from 9:00 - 18:00. The workshop dinner will be held on Monday. Detailed program of accepted presentations will be announced in early December 2015 Organisers David Leslie, Steffen Grunewalder, Peter Jacko. Location Postgraduate Statistics Centre Lancaster University Lancaster United Kingdom LA1 4YF -- ------------------------------------- Peter Jacko ------------------------------------- Lecturer in Management Science Department of Management Science Lancaster University Management School Lancaster, LA1 4YX, UK p.jacko(a)lancaster.ac.uk<mailto:p.jacko@lancaster.ac.uk> | +44-15245 94035 | Office B57 scholar.google.com/citations?user=Ym1nWHEAAAAJ<http://scholar.google.com/citations?user=Ym1nWHEAAAAJ> http://www.lancaster.ac.uk/lums/people/peter-jacko -------------------------------------

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Seminario Dr. Cosetta Minelli - Mendelian Randomisation - 9 novembre 2015
by Alessandro Marcon 09 Nov '15

09 Nov '15

Gentilissimi/e, vi invio un avviso di seminario, con preghiera di massima diffusione. Sede del seminario: Istituti Biologici 2, Università di Verona, strada Le Grazie 8 (VERONA). Distinti saluti, Alessandro Marcon Alessandro Marcon, PhD Unit of Epidemiology & Medical Statistics Department of Diagnostics and Public Health University of Verona Strada Le Grazie 8, 37134 Verona, Italy tel. +39 045 8027668 Avviso di SEMINARIO Lunedì 9 novembre 2015 (ore 13.00-13.45) Aula E - Istituti Biologici (Istituti Biologici 2, blocco B, secondo piano) Dr. Cosetta Minelli Senior Lecturer in Medical Statistics, National Heart and Lung Institute, Imperial College London *Mendelian randomization: * *The use of genes as instruments to strengthen causal inference in epidemiology* Mendelian randomization is an approach that uses genes as instrumental variables to derive unconfounded estimates of the effects of risk factors (e.g. biomarkers) on disease traits, and is therefore increasingly being used in epidemiology to distinguish causal from spurious associations. Since genes are randomly allocated at conception, genetic effects on a biomarker cannot be affected by classical confounding (e.g. lifestyle factors) or reverse causation (e.g. biomarker level being influenced by the presence of disease). Demonstration that a genetic variant known to modify the biomarker also modifies the disease trait represents indirect evidence of a causal biomarker-disease association. The validity of Mendelian Randomization, however, is based on instrumental variable assumptions, the most important being absence of pleiotropy. This talk will describe the approach, discuss ways to assess pleiotropy, highlight opportunities and challenges offered by available genome-wide data, and discuss its extension to the field of epigenetics (two-step epigenetic Mendelian randomization).

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TOR VERGATA - GIOVANNI LUCA TORRISI - MAURIZIA ROSSI - 17 NOVEMBRE
by Valentina Cammarota 06 Nov '15

06 Nov '15

Ciclo di Seminari - Progetto ERC grant PASCAL (Probabilistic and Statistical Techniques for Cosmological Applications) Avviso di seminario al Dipartimento di Matematica, Universita` di Roma Tor Vergata Martedi` 17 novembre Ore 14:15 in Aula D'Antoni Giovanni Luca Torrisi (Istituto per le Applicazioni del Calcolo "Mauro Picone" (C.N.R.)) Gaussian approximation of Hawkes processes Abstract: We give a general Gaussian bound for the innovation of a point process with stochastic intensity constructed by embedding in a bivariate Poisson process. We apply this result to Hawkes processes, providing a quantitative central limit theorem. Ore 16 in Aula Dal Passo Maurizia Rossi (Universita` di Roma Tor Vergata) The geometry of spherical random fields (discussione tesi di dottorato) Tutti gli interessati sono invitati a partecipare. . Valentina Cammarota Department of Mathematics Universita` degli Studi di Roma Tor Vergata http://www.mat.uniroma2.it/english.php https://sites.google.com/site/valentinacammarota/

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TOR VERGATA - COLLOQUIUM GIOVANNI PECCATI - ALESSANDRO ARLOTTO - 18 NOVEMBRE
by Valentina Cammarota 06 Nov '15

06 Nov '15

Ciclo di Seminari - Progetto ERC grant PASCAL (Probabilistic and Statistical Techniques for Cosmological Applications) Annuncio di Colloquium al Dipartimento di Matematica, Universita` di Roma Tor Vergata Mercoledi` 18 novembre 2015 in Aula Dal Passo Ore 15 Giovanni PECCATI (Universite' du Luxenbourg) Connecting and projecting random points: a gate to novel functional estimates Abstract: I will formulate two simple models of stochastic geometry: the first one involves the projection of a random Gaussian point on a closed convex cone, and the second one consists in the construction of a random graph on the plane. For each of them, I will explain how the fluctuations of several key quantities can be controlled by using functional inequalities, like Poincare', logarithmic Sobolev and information/transport estimates. The resulting bounds will allow us to present a number of quantitative results that are part of a growing body of literature focussing on probabilistic approximations via variational techniques, that have been successfully applied to fields as diverse as compressed sensing, the geometry of random fields on homogeneous spaces, polymer models, computer sciences and time series analysis. The presentation will be adapted to a general mathematical audience, and is based on a large number of contributions by many authors, spread over almost a decade. Ore 16: coffee break Ore 16:45 Seminario Alessandro Arlotto (Duke University) Finite Horizon Markov Decision Problems and a Central Limit Theorem for Total Reward Abstract: We prove a central limit theorem for a class of additive processes that arise naturally in the theory of finite horizon Markov decision problems. The main theorem generalizes a classic result of Dobrushin (1956) for temporally non-homogeneous Markov chains, and the principal innovation is that here the summands are permitted to depend on both the current state and a bounded number of future states of the chain. We show through several examples that this added flexibility gives one a direct path to asymptotic normality of the optimal total reward of finite horizon Markov decision problems. The same examples also explain why such results are not easily obtained by alternative Markovian techniques such as enlargement of the state space. Tutti gli interessati sono invitati a partecipare. .. Valentina Cammarota Department of Mathematics Universita` degli Studi di Roma Tor Vergata http://www.mat.uniroma2.it/english.php https://sites.google.com/site/valentinacammarota/

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