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Annuncio Seminario (UNIMIB) - S. Bonaccorsi
by gianmario tessitore 03 Dec '18

03 Dec '18

Si avvisa che in data 11-12-2018, alle ore 11:00, presso l'Aula 3014 del Dipartimento di Matematica e Applicazioni dell'Università di Milano-Bicocca, si svolgerà il seguente seminario: Relatore Stefano Bonaccorsi (Università di Trento) Titolo: Some notes on Malliavin calculus, surface integrals and integration by parts formulae in infinite dimensional spaces Abstract: We introduce a basic construction of the Malliavin calculus which unifies some different perspectives (e.g., Bogachev, Da Prato, Lunardi, Nualart). Then we introduce, for suitable functionals of the Brownian motion, the problem of constructing a surface measure (i.e., the restriction of the reference measure on the infinite dimensional Wiener space) on the level sets defined by them. Finally, we give some interpretation of such results in terms of other stochastic processes. Tutti gli interessati sono invitati a partecipare. -- Gianmario Tessitore Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca

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Fwd: Postdoc position in random graphs / discrete probability
by Elisabetta Candellero 03 Dec '18

03 Dec '18

---------- Forwarded message --------- From: Dieter Mitsche <dmitsche(a)gmail.com> Date: Sun, Dec 2, 2018 at 9:23 PM Subject: Postdoc position in random graphs / discrete probability To: Dear colleagues, I am currently advertising a postdoc position in discrete probability/random graphs (one year, deadline January 15). Please transfer the announcement below to potential candidates. Thanks in advance, dieter =============== *Postdoc position at Univ. Jean Monnet / Institut Camille Jordan for 2019 (1 year)* (you may also click on this link for more details: https://math.unice.fr/~dmitsche/Postdoc.pdf) Applications are invited for a 12-month-postdoctoral fellowship in discrete probability at Université Jean Monnet, Institut Camille Jordan. The position is funded by IDEX Lyon IMPULSION. *Research areas*: random graphs, random geometric (hyperbolic) graphs, random walks, discrete probability in general. *Practical informations:* - The position is for one year (12 months) with a salary of approx. 27K Euro (in the case of less than 3 years experience after the PhD) and approx. 34K Euro (between 3 and 6 years experience after the PhD). - Financial support to attend workshops / invite collaborators will be granted. - No teaching - A lot of activity around discrete probability going on - The starting date is flexible, between February and September 2019. The candidate should indicate the preferred starting date in the application letter. *Application and deadline:* Applications including a CV, a list of publications and an approximately two-page description of research interests should be sent by email to Dieter Mitsche: dmitsche(a)gmail.com. Applicants should also arrange two recommendation letters (to be sent to the same address). Informal inquiries can be sent to the same address. Deadline for applications: January 15th, 2019, and then on a rolling basis.

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Corso al Gran Sasso Science Instittute
by davide gabrielli 01 Dec '18

01 Dec '18

Professor Antonio Galves (USP, Brazil) will visit GSSI - LAquila from December 2 till December 20. He will give a course on ``Markov chains with variable memory for the phd students. The first class will be December 3 at 15 room D. The schedule of the other classes is: Every Monday 9-11 and 15-16 Every Tuesday 9-11. Davide Gabrielli

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2 years postdoc position in statistics
by Guillaume Kon Kam King 30 Nov '18

30 Nov '18

Dear all, Benoit Liquet (https://sites.google.com/site/benoitliquet/home) is advertising a postdoc position in Statistics, located in the South-West of France, near Biarritz. More details below, and in attachment. Please forward if you know any interested candidate. Best, Guillaume KON KAM KING Università degli Studi di Torino *https://sites.google.com/site/guillaumekonkamking/home <https://sites.google.com/site/guillaumekonkamking/home>* Recruitment grade: young researcher (i.e. with PhD) Location: Anglet, France Duration: 12 to 24 months, starting late 2018 (December or January 2019) Deadline: position open until filled Gross Salary Range: 2699 euros / month Postdoc description: Recently, several approaches were developed for completing the agnostic > genome-wide association studies (GWAS) in the discovery of new genetic risk > factors. One such approach is gene set analysis (GSA) that incorporates the > available biological knowledge of genes in order to provide additional > insights into the mechanisms involved in carcinogenesis. Another approach > proposed to test variants for association for multiple phenotypes as over > the years multiple loci have been found to be associated to several > distinct traits revealing the existence of pleiotropic effects. Although a > number of statistical approaches have been proposed in the literature for > identifying the existence of pleiotropy at SNP-level, not a lot of work has > been conducted for investigating pleiotropy at gene- and pathway-levels. We > aim to fill this gap by developing advanced statistical methods that test > for pleiotropic effects at a pathway level. Also, we will extend these > methods for the analysis of GxE interactions, as to the best of our > knowledge, pleiotropy methods have not adapted for testing for GxE > interactions. Therefore, our first objective is to develop novel > statistical methods that will identify shared pathways between different > diseases. Our second aim is to extend these methods for testing GxE in > general or in the context of pleiotropy. These methods will be applied to > explore the genetic relationship between differentiated thyroid cancer > (DTC) and breast cancer (BC) types. It has been shown that these two > cancers are linked as women with a prior history of DTC are at an increased > risk for BC and conversely. Both tumors have been shown to be associated to > common hormonal risk factors and shared genetic susceptibility is > suspected. We will use data from the CECILE study (1019 BC cases and 999 > controls) and from EPITHYR (1345 DTC cases and 1399 controls). All subjects > were genotyped using the OncoArray chip that includes more than 500 000 > variants. Through the developments of novel statistical methods, we aim to > elucidate the common mechanisms between BC and DTC. This project will lead > to the development of new statistical methods that will benefit both the > epidemiology and statistical communities. These methods will permit to gain > novel insights into the inherited genetic basis of BC and DTC by > identifying the common biological elements that contribute to their > aetiology.

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2 years postdoc position in statistics
by Guillaume Kon Kam King 30 Nov '18

30 Nov '18

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Avviso di seminario :: Causeur@DSS (Scienze Statistiche, Sapienza)
by Pierpaolo Brutti 30 Nov '18

30 Nov '18

----------------------------------------------------------------------------- A v v i s o d i S e m i n a r i o ----------------------------------------------------------------------------- Mercoledì 05 Dicembre, ore 11:00am ----------------------------------------------------------------------------- Sala 34 (quarto piano) Dipartimento di Scienze Statistiche Sapienza Università di Roma DAVID CAUSEUR (Agrocampus Ouest, Dep. of Statistics and Computer Science) terrà un seminario dal titolo HANDLING DEPENDENCE OR NOT IN STATISTICAL LEARNING FOR HIGH-DIMENSIONAL DATA tutti gli interessati sono invitati a partecipare. ----------------------------------------------------------------------------- Saluti Pierpaolo Brutti --- ABSTRACT The proper way to handle dependence across features in high-throughput data has raised fundamental discussions with unclear general conclusions or final recommendations. One of the most obvious illustration of this point is the tremendous effort of the statistics research community to address the impact of dependence on the False Discovery Rate (FDR)-controlling method by Benjamini and Hochberg (1995), which was initially designed under an independence assumption. Another famous questioning example is provided by the strikingly good performance of a naïve Bayes procedure ignoring dependence in a comparative study of machine learning methods by Dudoit et al. (2002) to predict classes from gene expression data. Addressing the dependence issue has often consisted in assessing its detrimental impact on the performance of standard methods designed to be optimal under independence, and deduce patches. To be valid for arbitrarily complex dependence patterns, such approaches in which dependence is viewed as a curse can lead to poorly powerful procedures. Therefore, both for machine learning and testing issues, a new generation of methods have emerged, advocating for an ad-hoc handling of dependence consisting in a preliminary whitening of the data (see Ahdesmäki and Strimmer, 2010, Hall and Jin, 2010). However, disentangling the dependent noise and the true association signal is very challenging and decorrelation can then lead to an alteration of the true association signal. For the purpose of global testing, where the objective is to test for the significance of an association signal between a set of features and a covariate, Arias-Castro el al. (2011) suggests that the optimal handling of dependence shall be specific of the pattern of the true association signal, especially through its sparsity rate. The former global testing framework covers a wide scope of applications, such as functional Analysis of Variance (fANOVA) and association tests between a region of the genome formed by contiguous Single Nucleotide Polymorphisms (SNP) and a case/control response variable in Genome Wide Association Studies. Interestingly, in the two former fields of applications, many popular methods are just based on simple aggregation of pointwise test statistics ignoring their dependence. The talk will start by a selection of short stories with confusing conclusions about the proper way to handle dependence. After a tentative clarification, I will introduce two methods for global testing in which whitening is adapted both to the pattern of dependence across pointwise test statistics and to the pattern of the true signal. The performance of the two testing methods will be illustrated by applications to significance analysis of ElectroEncephalogram curves in Event-Related Potentials (ERP) designs and by SNPset approaches of Genome Wide Association Studies for genetic epidemiology issues. We also discuss the applications of the former general principles to prediction in high-dimension.

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Conference in honor of Aad van der Vaart
by Antonio Lijoi 30 Nov '18

30 Nov '18

Cari tutti, su gentile richiesta degli organizzatori, inoltro l'annuncio del convegno in onore di Aad van der Vaart. Saluti, AL ------------ Dear Colleagues, We are organising a conference between the 17th and 21st of June, 2019, in Leiden celebrating Aad van der Vaart's contributions to statistics on the occasion of his 60th birthday.If you are interested in participating, please register as soon as possible on the conference webpage (we have only limited space at the conference venue and registration is on first come first served base): http://pub.math.leidenuniv.nl/~schmidthieberaj/aadbirthday/index.html (if the link does not work, please try to copy it to the web browser.) The conference fee is 200 euro, which includes the welcome reception on Monday afternoon, and sandwich lunch, coffee and tea during the conference. To complete your registration, please send the registration fee to the following account: Bank name: Rabobank account number: 0102468869 IBAN: NL78RABO 0102468869 Swiftcode: RABONL2U in the name of: Universiteit Leiden cs Fac. W&N *mention:* SAPnummer 2009008062 and your name We will regularly check the account and will send you a confirmation letter once we received the registration fee. For further information, please do not hesitate to contact us (via the email address: b.t.szabo(a)math.leidenuniv.nl). Best wishes and hope to see you next year in Leiden, Subhashis Ghoshal Mathisca de Gunst Jacqueline Meulman Stéphanie van der Pas Johannes Schmidt-Hieber Botond Szabo Harry van Zanten

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2019 ABS Summer School on Bayesian Demography (Como, Italy)
by Consonni Guido 29 Nov '18

29 Nov '18

We are glad to announce that the 2019 Applied Bayesian Statistics Summer School (16th edition) will be held in the magnificent Villa del Grumello, Como (Italy) along the Lake Como shore. BAYESIAN DEMOGRAPHY 24-28 June, 2019 Lecturers: Adrian Raftery and Hana Ševcíková University of Washington, Seattle, USA Further details are provided below. Guido Consonni and Fabrizio Ruggeri ABS19 Directors Raffaele Argiento ABS19 Executive Director ---------------------------------------------------------------- ******************************* * ABS19 * ******************************* Applied Bayesian Statistics School BAYESIAN DEMOGRAPHY Villa del Grumello, Como, Italy 24-28 June, 2019 Lecturers: - Adrian Raftery, the Boeing International Professor of Statistics and Sociology - Hana Ševcíková, Senior Research Scientist Center for Statistics and the Social Sciences, Center for Studies in Demography and Ecology, University of Washington, Seattle, USA The School webpage is http://web.mi.imati.cnr.it/conferences/abs19/index.html Registration is now open. Please note that the conference room allows only for a very limited number of participants. COURSE OUTLINE Population projections have until recently usually been done deterministically. Recently, the United Nation Population Division adopted a probabilistic approach to project fertility, mortality and population for all countries. In this approach, the total fertility rate and female and male life expectancy at birth are projected using Bayesian hierarchical models estimated via Markov Chain Monte Carlo. They are then combined with a cohort component model, which yields probabilistic projection for any quantity of interest. The methodology is implemented in a suite of R packages, which has been used by the UN analysts to produce the most recent revision of the World Population Prospects. This course will teach the theory and practice of Bayesian probabilistic projections. Ideas of the Bayesian hierarchical modeling for the three main components of population change, fertility, mortality and migration, will be explained. In hands-on exercises, students will become familiar with the functionality of the R packages. PRACTICAL INFORMATION The school will replicate the successful format of the previous years, and will feature lectures and practical sessions, as well as participants' talks. It will start on Monday after lunch and end on Friday before lunch; Wednesday afternoon is free. Accommodation is available either at the Villa guesthouse or in downtown hotels (info will appear soon on the website). Como can be easily reached by train from Milan and its airports. More details are available on the website. Dipartimento di Scienze Statistiche Università Cattolica del Sacro Cuore Largo Gemelli, 1 20123 Milano; ITALY Ph: +39 02 7234 3049 https://sites.google.com/site/consonnibayes/home [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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PhD Scholarship in Network Science and Data Science
by Yilun Shang 29 Nov '18

29 Nov '18

Dear Colleague, A fully-funded PhD scholarship is available under the supervision of Dr. Yilun Shang at Computer and Information Sciences Department of Northumbria University, Newcastle, UK Complex network analysis and resilience in large-scale multi-layer networks The goal of this project is to investigate and develop new data science approaches to model large-scale networks. Recent advances in network science have enabled researchers to understand the resilience of large-scale topological systems and develop algorithms to improve their robustness in the presence of different classes of failures and perturbations. This project aims to further enhance the understanding of large-scale complex systems and create a platform to translate fundamental research into real-world impact. Random graph models and numerical simulations will be used. Deadline for applications: Friday 25 January 2019 Start Date: 1 October 2019 Funding: The studentship is available to Students Worldwide, and covers full fees and a full stipend, paid for three years at RCUK rates (for 2018/19, this is £14,777 pa) More details are available at https://www.findaphd.com/search/ProjectDetails.aspx?PJID=103773 Feel free to share this message with prospective students. Best regards, Yilun Shang --- Dr. Yilun Shang Associate Professor Department of Computer and Information Sciences Northumbria University https://www.northumbria.ac.uk/about-us/our-staff/s/yilun-shang/

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1-2 years postdoc position in statistics
by Guillaume Kon Kam King 29 Nov '18

29 Nov '18

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