Random March 2017

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Concorso da RTDb di MAT/06 a Padova - scadenza 25/8/2016
by Marco Ferrante 25 Jun '24

25 Jun '24

Cari colleghi, vi segnalo che il Dipartimento di Matematica dell'Università di Padova ha bandito un posto di ricercatore di tipo B nel settore MAT/06. Il bando è disponibile alla pagina http://www.math.unipd.it/it/news/?id=1898 La scadenza per la presentazione delle domande è il 25 agosto 2016. Marco Ferrante

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Avviso seminario di Matematica, Pisa, Dr. Kohei Suzuki (05.04.17)
by Carina Geldhauser 31 Mar '17

31 Mar '17

SEMINARIO DI MATEMATICA *mercoledì 5 aprile 2017* ore 14:00 *Scuola Normale Superiore* Pisa Aula Mancini Kohei Suzuki (Bonn University) Terrà un seminario dal titolo: *“**Convergence of Brownian Motions on Metric Measure Spaces Under Riemannian Curvature-Dimension Conditions**”* *Abstract:* *The goal of this talk is to characterize the weak convergence of Brownian motions in terms of a geometric convergence of the underlying spaces. As main results, we show that the pointed measured Gromov convergence of the underlying spaces implies (or under some condition, is equivalent to) the weak convergence of Brownian motions under Riemannian Curvature-Dimension conditions.* *This talk is based on my recent preprint available at https://arxiv.org/pdf/1703.07234.pdf <https://arxiv.org/pdf/1703.07234.pdf>* Tutti gli interessati sono invitati a partecipare.

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Workshop announcement: Mathematics for Big Data
by Alessandra Micheletti 31 Mar '17

31 Mar '17

*Dates: **May 31- June 1, 2017* *Place: **University of Novi Sad, Serbia* The availability of huge amounts of data is often considered as the fourth industrial revolution we are living right now. The increase in data accumulation allows us to tackle a wide range of social, economic, industrial and scientific challenges. But extracting meaningful knowledge from the available data is not a trivial task and represents a severe challenge for data analysts. Mathematics plays an important role in the existing algorithms for data processing through techniques of statistical learning, signal analysis, distributed optimization, compress sensing etc. The amounts of data that are available and that are going to be available in near future call for significant efforts in mathematics. These efforts are needed to make the data useful. The main challenges we plan to consider within this SIG are, roughly speaking, in the area of mathematical optimization and statistics. The Special Interest Group Mathematics for Big Data <https://sites.google.com/view/mathbigdata/home>, organized under ECMI <https://ecmiindmath.org/> umbrella, aims to bring together major stakeholders in this exciting area. The principal objectives of the workshop are § to gather experts from academia working on Big Data issues § to promote scientific cooperation on up-to-date open challenges in the area § to promote cooperation between academia and industry in the area § to promote joint applications to EU funded programs The workshop will have the usual format of ECMI Special Group workshops. Several distinguished experts will deliver plenary lectures on the state-of-the art topics, followed by a limited number of contributed lectures. Posters sections are also possible. A panel discussion with the representatives of industry will also be organized. A collection of survey papers will be published in Springer book edition "Mathematics in Industry". The plenary speakers confirmed so far: · Hanno Gottschalk, University of Wuppertal · Stefano Iacus, University of Milano · Aleksandra Pizurica, University of Ghent · Joao Xavier, Instituto Superior Tecnico, Lisbon · Branka Vucetic, University of Sydney · Milos Bozic, VAST, USA There is no registration fee for the workshop but the registration is obligatory. If you wish to present a contributed lecture or a poster please send the title and a short abstract together with the registration. Due to the limited number of contributed lectures, the organizers might transfer a contributed presentation to a poster presentation. The workshop is organized by Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad and University of Milano, with support from ECMI, Ministry of Education, Science and Technological Development of Serbia and Secretary for High Education and Science of Vojvodina. *For more details visit* *https://www.dmi.uns.ac.rs/mathbd/index.html* <https://www.dmi.uns.ac.rs/mathbd/index.html> -- ------------------------------------ Alessandra Micheletti Associate Professor - Probability and Mathematical Statistics ADAMSS Centre 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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Quantitative Finance at Work
by Davide Erminio Pirino 31 Mar '17

31 Mar '17

Dear all, on April 28, 2017, the Department of Economics and Finance <http://economia.uniroma2.it/en/def/> and the Master of Science in Finance and Banking <http://economia.uniroma2.it/master-science/financeandbanking> of the University of Rome Tor Vergata <http://web.uniroma2.it/home/newlang/english> will host the first edition of Quantitative Finance at Work, a workshop on the practical use of quantitative methods in Finance. Find out more about the program, the venue and the registration form at the event website <https://economicstorvergat.wixsite.com/qfinatwork>. ( https://economicstorvergat.wixsite.com/qfinatwork) Registration *is** free but required to attend to the workshop*. It will be open until the maximum number of participants is reached. The list of the speakers and some information are attached. You may download the flyer of the event here <https://media.wix.com/ugd/3e1e75_71d989d53179437d885d6a0402ab9f7e.pdf>. Looking forward to seeing you in Rome “Tor Vergata”, The organizing committee Stefano Herzel Davide Pirino Rocco Ciciretti Sergio Scarlatti Alessandro Ramponi Speakers Matteo Bissiri Cassa Depositi e Prestiti Damiano Brigo Imperial College London Attilio Meucci Advanced Risk and Portfolio Management® Marcello Minenna Consob Massimo Morini Banca IMI Federico Mosca Arca SGR Pietro Rossi Prometeia Marcello Terraneo UniCredit Group Venue University of Rome Tor Vergata, School of Economics Classroom TL – Building A Via Columbia, 2 – 00133 Rome Date April 28, 2017, 9:30 AM-5:00 PM *Web*: https://economicstorvergat.wixsite.com/qfinatwork

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Seminario ASTON
by Matteo Ruggiero 31 Mar '17

31 Mar '17

************************************************************************ STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO ************************************************************************ Venerdi 7 Aprile 2017 alle ore 12:00, presso l’Aula Rossa del Collegio Carlo Alberto, Moncalieri (TO), si terra' il seguente seminario: John ASTON (University of Cambridge) FUNCTIONS, MANIFOLDS AND STATISTICAL LINGUISTICS Functional Data Analysis concerns the statistical study of curves and surfaces. An extension, Functional Object Data Analysis, looks at the statistical analysis of curves and surfaces which live in restricted spaces, such as on manifolds. One particular example of these are the covariance functions associated with the underlying curves. These positive definite operators can often be of interest in their own right, yet standard functional data models are not appropriate due to the positive definite space they are constrained to lie in. Statistical models for both traditional functional data and separable positive definite models will be discussed, particularly in regards to the modelling of phonetic data. Acoustic phonetic data from different dialects or languages can be associated with both mean and covariance functions, and models used to try to interpolate and extrapolate sounds from one language to another. We will demonstrate that by considering the spaces where these sounds lie, it is possible to turn a speaker from one language to another, and literally listen to our statistical analysis. 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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[COURSE] CSAMA 2017: Statistical Data Analysis for Genome Scale Biology
by stefano iacus 30 Mar '17

30 Mar '17

[Apologizes for cross-posting] CSAMA 2017: Statistical Data Analysis for Genome Scale Biology Bressanone-Brixen (IT) June 11-16, 2017 About the Course ================ The one-week intensive course Statistical Data Analysis for Genome-Scale Biology teaches statistical and computational analysis of multi-omics studies in biology and biomedicine. It covers the underlying theory and state of the art (the morning lectures) and practical hands-on exercises based on the R / Bioconductor environment (the afternoon labs). At the end of the course, you should be able to run analysis workflows on your own (multi-)omic data, adapt and combine different tools, and make informed and scientifically sound choices about analysis strategies. The course is intended for researchers who have basic familiarity with the experimental technologies and their applications in biology, and who are interested in making the step from a user of bioinformatics software towards adapting or developing their own analysis workflows. The four practical sessions of the course will require you to follow and modify scripts in the computer language R. Topics ====== * Introduction to R and Bioconductor * The elements of statistics: hypothesis testing, multiple testing, regression, regularization, clustering and classification, parallelization and performance (machine learning), visualisation * RNA-Seq data analysis * Computing with sequences and genomic intervals * Working with annotation – genes, genomic features, variants, transcripts and proteins * Gene set enrichment analysis * Mass spec proteomics and metabolomics * Basis of microbiome analysis * Experimental design, batch effects and confounding * Reproducible research and workflow authoring with R markdown * Package development, version control and developer tools (incl. git, github, RStudio) * Working with large data: performance parallelisation and cloud computing Course Structure ================ The course consists of: * Morning lectures: 20 x 45 minutes: Monday to Friday 8:30 – 12:00 * Practical computer tutorials in the afternoons (13:30 – 16:30) Registration ============ Closes on April 23rd 2016 WebSite of the course ===================== http://www.huber.embl.de/csama2017/ ----------------------------------- Prof. Stefano M. Iacus, Ph.D. Director of MEF - Master in Economics & Finance http://www.mef.unimi.it Co-Founder of VOICES from the Blogs http://www.voices-int.com Department of Economics, Management and Quantitative Methods University of Milan Via Conservatorio, 7 I-20123 Milan - Italy Ph.: +39 02 50321 461 Fax: +39 02 50321 505 Twitter: @iacus http://scholar.google.com/citations?user=JBs9tJ4AAAAJ&hl=en http://orcid.org/0000-0002-4884-0047 Master in Economics & Finance http://www.mef.unimi.it Twitter: @mefunimi Facebook: http://www.facebook.com/mefunimi Email and further information at: mef(a)unimi.it ------------------------------------------------------------------------------------ Please don't send me Word or PowerPoint attachments if not absolutely necessary. See: http://www.gnu.org/philosophy/no-word-attachments.html

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Bando RTDA in Statistica
by stefano iacus 30 Mar '17

30 Mar '17

Il Dipartimento di Economia, Management e Metodi Quantitativi, Università degli Studi di Milano, ha aperto un bando per una posizione di ricercatore a tempo determinato, di tipo A, per il settore 13/D1, Statistica. Il bando completo è reperibile all'indirizzo internet: http://www.unimi.it/ateneo/valcomp/93997.htm I compiti che il ricercatore è chiamato a svolgere sono i seguenti: Tipologia dell’impegno didattico e scientifico: Attività didattica, anche in lingua inglese, coerente con i contenuti del settore SECS-S/01 e dei corsi di laurea triennale, magistrale e dottorale di interesse per il dipartimento. Attività di ricerca coerente con le linee di indagine perseguite nel Dipartimento, con specifico riferimento alla analisi dei dati e alla statistica computazionale. La scadenza per la presentazione delle domande è il 14 aprile 2017. Cordiali saluti Stefano Iacus Pier Alda Ferrari ----------------------------------- Prof. Stefano M. Iacus, Ph.D. Director of MEF - Master in Economics & Finance http://www.mef.unimi.it Co-Founder of VOICES from the Blogs http://www.voices-int.com Department of Economics, Management and Quantitative Methods University of Milan Via Conservatorio, 7 I-20123 Milan - Italy Ph.: +39 02 50321 461 Fax: +39 02 50321 505 Twitter: @iacus http://scholar.google.com/citations?user=JBs9tJ4AAAAJ&hl=en http://orcid.org/0000-0002-4884-0047 Master in Economics & Finance http://www.mef.unimi.it Twitter: @mefunimi Facebook: http://www.facebook.com/mefunimi Email and further information at: mef(a)unimi.it Sent from my StrawBerry®

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Fwd: Postdoctoral positions in Buenos Aires
by Faggionato, Alessandra 30 Mar '17

30 Mar '17

---------- Forwarded message ---------- From: Leonardo Rolla <leorolla(a)dm.uba.ar> Date: 2017-03-30 4:08 GMT+02:00 Subject: Postdoctoral positions in Buenos Aires To: Leonardo Rolla <leorolla(a)dm.uba.ar> Dear friends and colleagues, I would much appreciate if you could help me broadcast the announcement below. Apologies in advance for any duplicates. Best regards, Leonardo T. Rolla ---------- Forwarded message ---------- Date: Wed, 29 Mar 2017 16:29:52 -0300 (ART) From: probab(a)dm.uba.ar Subject: Postdoctoral positions in Buenos Aires Applications are invited for post-doctoral positions in Percolation, Particle Systems, and Stochastic Networks. Please feel free to forward this message to other colleagues and potential candidates. The positions last two years and have a monthly stipend of around 19600ARS, to start in April 2018. Candidates should send a complete application to probab(a)dm.uba.ar by June 15, attaching: - CV - Motivation letter - Research statement Two recommendation letters should be sent confidentially to probab(a)dm.uba.ar by June 20. Information on the group activities and projects can be found at http://mate.dm.uba.ar/~probab/ Thank you in advance, Buenos Aires Probability Group -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 2 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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Postdoctoral positions in Buenos Aires
by davide gabrielli 30 Mar '17

30 Mar '17

Applications are invited for post-doctoral positions in Percolation, Particle Systems, and Stochastic Networks. Please feel free to forward this message to other colleagues and potential candidates. The positions last two years and have a monthly stipend of around 19600ARS, to start in April 2018. Candidates should send a complete application to probab(a)dm.uba.ar by June 15, attaching: - CV - Motivation letter - Research statement Two recommendation letters should be sent confidentially to probab(a)dm.uba.ar by June 20. Information on the group activities and projects can be found at http://mate.dm.uba.ar/~probab/ Thank you in advance, Buenos Aires Probability Group

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Seminar prof Cerny, LUISS -- change of time
by Sara 30 Mar '17

30 Mar '17

Dear all, I re-post the announcement for your convenience. The seminar will be next Tuesday, but at 2:30 pm in Room 307b. Professor A. Cerny from Cass will be visiting LUISS and on Tuesday April 4, at 2:30 pm in Room 307b -- viale Romania he will give the following seminar: OPTIMAL TRADE EXECUTION UNDER ENDOGENOUS PRESSURE TO LIQUIDATE: THEORY AND NUMERICAL SOLUTIONS We study optimal liquidation of a large trading position in a market with a temporary price impact. We endogenize the pressure to liquidate and hence allow the time horizon of liquidation to be determined endogenously, as part of the optimal strategy. The corresponding HJB equation leads to a severely singular initial value problem whose numerical solution we also study. In contrast to much of the existing literature spreading the liquidation strategy over a longer horizon is not necessarily beneficial to the trader. Joint work with Pavol Brunovský and Ján Komadel, Comenius University Bratislava -- 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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