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Assegno di ricerca presso la Scuola Normale Superiore, Pisa
by Fabrizio Lillo 04 Apr '17

04 Apr '17

The call for a 16 month postdoc (assegno di ricerca) is open at the Scuola Normale Superiore di Pisa (Italy). The topic of the research is *Italian: **Esecuzione ottimale e dinamica di alta frequenza in mercati foreign exchange* *English: Optimal execution and high frequency dynamics in foreign exchange markets* and the research will likely be conducted in collaboration with the FX desk of HSBC (London) The details of the call are at Italian http://www.sns.it/bando/assegno-di-ricerca-la-collaborazione-al-programma- di-ricerca-%E2%80%9Caccordo-di-ricerca-hsbc-sns-analisi- delle-microstrutture-dei-0 English http://en.sns.it/bando/research-contract-part-research-project-%E2%80% 9Chsbc-sns-research-agreement-microstructure-financi <http://en.sns.it/bando/research-contract-part-research-project-%E2%80%9Chsb…> The deadline is April 14. I would be grateful if you could forward this message to any potentially interested candidate. The interested candidates can either contact me (fabrizio.lillo(a)sns.it) or the addresses in the call in case they need further information. Thanks and all the best, Fabrizio Lillo ---------------------------------------- Fabrizio Lillo Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa ITALY New website: fabriziolillo.wordpress.com phone: +39 050509159

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Mini course in Verona - Luciano Campi: Optimal stopping with applications to finance.
by Luca di persio 04 Apr '17

04 Apr '17

*Mini course announcement* Prof. Luciano Campi [ LSE, London School of Economics, London ] will give a mini course on *Optimal stopping with applications to finance*, according with the following time table: 10th of April (2017) : 1730-1930 - Room M 11th of April (2017) : 1430 -1730 - Room M 12th of April (2017) : 1430-1730 - Room M all the lessons will take place at the Dept. of Computer Science - UniVr Strada le Grazie, 15 - Verona Ca' Vignal located here https://goo.gl/maps/Yx2JU *Abstract and structure of the course*Optimal stopping problems are very common in economics and finance (as well as in other fields such as sequential statistics), think for instance of choosing the best time to sell some good (e.g. a house) or to exercise a given option. The aim of this course is explaining in detail the main solution methods and how they can be applied to some concrete examples coming from economics and finance. A good knowledge of probability theory and martingales in discrete time is a very welcomed prerequisite. The list of topics will be: 1. Optimal stopping problem (OSP): motivation and examples. 2. Solution to OSP via Snell envelop and backward induction. 3. Zero-sum stopping games (aka Dynkin games). 4. Applications to finance and economics. *References*: • Neveu, J. (1975). Discrete-parameter martingales (Vol. 10). Elsevier. • Peskir, G., and Shiryaev, A. (2006). Optimal stopping and free-boundary problems (pp. 123-142). Birkhäuser Basel. • Ghemawat, P., and Nalebuff, B. (1985). Exit. The RAND Journal of Economics, 184-194. • Solan, E., and Vieille, N. (2005). Stopping games: recent results. In Advances in Dynamic Games (pp. 235-245). Birkhäuser Boston. ___________ Do not hesitate to contact me for further details: luca.dipersio(a)univr.it LuCa __ Luca Di Persio - PhD assistant professor of Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 Dept. Math University of Trento V. Sommarive, 14 - 38123 Povo - Italy Tel : +39 0461 281686

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Seminario Prof. Fonden Sapienza Roma
by Alessandro Degregorio 03 Apr '17

03 Apr '17

------------------------------------------------------------ ----------------- A v v i s o d i S e m i n a r i o ------------------------------------------------------------ ----------------- Martedì 4 Aprile, ore 14,30 ------------------------------------------------------------ ----------------- Aula 1B1 Dipartimento di Scienze di Base e Applicate per l'Ingegneria (SBAI) "Sapienza" Università di Roma Prof. Mohammud Fonden (University of Glasgow) *Titolo:* Some properties of space-time fractional stochastic partial differential equations *Abstract:* The main point of this talk is to show how the presence of the non-locality affects the behaviour of solutions to the stochastic heat equation. We will look at equations with fractional Laplacian as well as equations with time fractional derivatives. The properties discussed are closely related to the concept of ‘intermittency’ which roughly speaking, means that the solution develop high peaks. Tutti gli interessati sono invitati a partecipare. Cordiali saluti Alessandro De Gregorio

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Due assegni di ricerca biennali nell'area 01
by Federico Polito 03 Apr '17

03 Apr '17

Con preghiera di diffusione a tutti gli interessati. Si segnala l'uscita di un bando per due assegni di ricerca biennali nell'area 01. La ricerca si propone lo studio di nuove problematiche attuali della Matematica, con particolare riferimento a quelle elencate nel progetto scientifico del Dipartimento di Matematica dell'Università di Torino: http://www.dipmatematica.unito.it/do/home.pl/View?doc=dip_prog_scien.html I settori scientifico-disciplinari interessati sono tutti quelli dell'Area 01. Le tematiche di ricerca attive per il SSD MAT/06 sono reperibili al seguente link: http://www.dipmatematica.unito.it/do/gruppi.pl/Show?_id=2oge&tab=2 Le domande di ammissione alla selezione devono essere presentate utilizzando esclusivamente l'apposita procedura online al link https://pica.cineca.it/unito/ dove è anche possibile scaricare il testo completo del bando. La presentazione della domanda di partecipazione dovrà essere perfezionata e conclusa entro le ore 12 (ora di Roma) del 26 Aprile 2017. Un saluto. Federico Polito -- Federico Polito Department of Mathematics University of Torino Via Carlo Alberto, 10 10123, Torino, Italy Email: fpolito(a)unito.it Tel: +39 011 6702862 Web: www.federicopolito.it

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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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