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Short Summer School on Bayesian Statistics and its applications in Epidemiology and Neural Activity
by Claudio Agostinelli 14 Jun '18

14 Jun '18

Short Summer School on Bayesian Statistics and its applications in Epidemiology and Neural Activity 27-29 June 2018 Department of Mathematics, University of Trento The school is open to 30 participants, no fees are required, but registration is mandatory. Lectures will be delivered in English. Full information and registration form at http://datascience.maths.unitn.it/events/pds2018/index.html For further information please contact claudio.agostinelli(a)unitn.it ------------------------------------------------------------ Claudio Agostinelli Dipartimento di Matematica Universita' di Trento email: claudio.agostinelli(a)unitn.it ------------------------------------------------------------ Per favore non mandatemi documenti in Microsoft Office/Apple iWork. Spediscimi invece OpenDocument! http://fsf.org/campaigns/opendocument/ Please do not send me Microsoft Office/Apple iWork documents. Send OpenDocument instead! http://fsf.org/campaigns/opendocument/ ------------------------------------------------------------

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PhD Positions @Unisalento
by Fabrizio Durante 13 Jun '18

13 Jun '18

Con preghiera di diffusione *************************** Siinforma che è stato pubblicato il bando per n. 4 borse per l'ammissione al XXXIV Ciclo del Corso di dottorato in "*Economia, Management e Metodi Quantitativi*" presso l'Università del Salento <www.unisalento.it>, Lecce. La scadenza per la presentazione delle domande è il *10 Luglio 2018 alle ore 13*. Tutte le informazioni per la presentazione delle domande sono disponibili al seguente link: https://www.unisalento.it/bandi-concorsi/-/bandi/view/64271578 Gli studenti e/o i laureati interessati a svolgere ricerca su temi di economia, management e/o metodi quantitativi sono invitati a partecipare. A titolo esemplificativo, elenco alcune tematiche di ricerca di interesse per il Dottorato: Matematica per l'Economia, la Finanza e l'Impresa. Modelli matematici per le decisioni. Metodi quantitativi e Big Data. Statistica Multivariata. Statistica Inferenziale. Statistica Spaziale. Analisi delle serie storiche Grazie in anticipo. Cordiali Saluti Fabrizio Durante PhD Program Coordinator ----- Fabrizio Durante https://sites.google.com/site/fbdurante/

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Avviso di seminario
by Domenico Marinucci 12 Jun '18

12 Jun '18

AVVISO DI SEMINARIO Dipartimento di Matematica Università di Roma Tor Vergata Giovedì 14 Giugno Ore 12 Aula Dal Passo Speaker: Victor Panaretos (EPFL) DOUBLY SPECTRAL ANALYSIS OF FUNCTIONAL TIME SERIES AND DNA MOLECULAR DYNAMICS The Karhunen-Loève (KL) expansion has evolved into the workhorse of functional data analysis: the Fourier representation it affords on the one hand serves as a basis for motivating methodology by analogy to multivariate statistics; and, on the other hand, appears as the natural means of regularization in problems such as regression, testing and prediction, which are ill-posed in the functional case. With the aim of obtaining a similarly canonical representation of dependent functional data, we develop a doubly spectral analysis of a stationary functional stochastic process, decomposing it into an integral of uncorrelated functional frequency components (Cramér representation), each of which is in turn expanded into a KL series. This Cramér-Karhunen-Loève representation separates temporal from intrinsic curve variation, and it is seen to yield a harmonic principal component analysis when truncated: a finite dimensional proxy of the time series that optimally captures both within and between curve variation. Empirical versions are introduced, and a rigorous analysis of their large-sample behaviour is provided under Brillinger mixing conditions. Our work is motivated by and applied to the study of the molecular dynamics of short strands of DNA; specifically, we consider the problem of determining whether the dynamics of such strands in solution are significantly affected by small perturbations of their base-pair composition, based on molecular dynamics simulations. (Based on joint work with Shahin Tavakoli, now at Warwick).

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Call for applications - PhD program in Methods and Models for Economic Decisions - Insubria
by elisa mastrogiacomo 11 Jun '18

11 Jun '18

*Dear colleagues,* *The official call for applications (for the academic year 2018/2019) to the PhD program in Methods and Models for Economic Decisions is online.* *For full details and the link where you can apply click here. <https://www.uninsubria.it/postlauream/metodi-e-modelli-le-decisioni-economi…>* *Students interested in the program should contact Prof. Matteo Rocca, at matteo.rocca(a)uninsubria.it <matteo.rocca(a)uninsubria.it>.* *As it is stated in the call, applicants have to submit 3 Recommendation Letters (Max. 3) by University staff and/or employers. The letters will be placed directly by the evaluators in the on-line procedure. Applicants will have to enter in the online registration form the name and e-mail address of the referent identified .* *The deadline to apply is July 31st 2018, 12pm (CET)* *We would be grateful if you could bring this information to the attention of possible applicants.* *Best regards,* *EM*

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6th FCPNLO, BCAM, Bilbao, 26-28 September 2018
by Gianni Pagnini 11 Jun '18

11 Jun '18

Dear Colleagues, I would like to promote the sixth edition of the workshop Fractional Calculus, Probability and Non-Local Operators that we be held at BCAM, Bilbao, Basque Country - Spain, in the days 26-28 September 2018. The workshop is an occasion to discuss in an informal environment recent developments and open problems related to Fractional Calculus, it is organised as a solutions-for-problems as well as a problems-for-solutions meeting by gathering specialists from different fields with complementary expertise and views. The program of the workshop includes invited speakers but it is also open to free submissions for talks and special financial support can be asked for young researchers. Invited Speakers: Larbi Alili (University of Warwick) Mirko D’Ovidio (La Sapienza University, Rome) Carlo Manzo (University of Vic) Lukasz Plociniczak (Wroclaw University of Science and Technology) Luz Roncal (BCAM, Bilbao) Laura Sacerdote (University of Torino) Trifce Sandev (Ss. Cyril and Methodius University, Skopie) Alessandro Taloni (Istituto dei Sistemi Complessi, Roma) Enrico Valdinoci (University of Milan) Zoran Vondracek (University of Zagreb) For more information, please visit the webpage https://wp.bcamath.org/fcpnlo2018/ <https://wp.bcamath.org/fcpnlo2018/> or write me an email at gpagnini(a)bcamath.org <mailto:gpagnini@bcamath.org>. Looking forward to meeting you in Bilbao, Regards, Gianni Pagnini — Gianni Pagnini Ikerbasque Research Associate BCAM - Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 gpagnini(a)bcamath.org | www.bcamath.org/gpagnini ( matematika mugaz bestalde )

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Fwd: Call of interest - Mathematics - Rome Tor Vergata
by Domenico Marinucci 09 Jun '18

09 Jun '18

***************** CALL FOR INTEREST ***************** The Department of Mathematics at the University of Rome Tor Vergata invites expressions of interest for Senior (Tenure-Track) Assistant Professor ('RTD-B') and Tenured Associate Professor positions in any area of Pure and Applied Mathematics. Who we are: Our Department has been consistently ranked in top positions within Italy and Europe in Research Assessment Exercises held over the last decade; it is the only Italian institution ranking in the top 100 worldwide for Mathematics according to the ARWU ranking of 2017. Moreover, the Department has been recently ranked first in Italy and hence financed by the Italian Ministry of Education, University and Research (MIUR) under the program "Departments of Excellence" for the 2018-2022 period. More information about the Department and this program can be found at https://www.mat.uniroma2.it/ see also http://www.mat.uniroma2.it/Progetto/ What we offer: - Associate Professor is a tenured position. Applicants should have an established track-record of publications in top international journals and evidence of leadership and recognition in the international academic community, including grant applications and project management. Standards of excellence in teaching are also expected. The initial gross salary of an Associate Professor is around 50k Euros per year. The net amount after taxes depends on the total personal income, the composition of the family and other parameters. To apply for an associate professorship in Italy, the candidates must hold the "Abilitazione Scientifica Nazionale" (Italian National Habilitation) as Associate Professor, or must have been declared eligible by the Italian Ministery of University and Research (MIUR), or must be currently employed in an equivalent position in Italy or in a foreign Department. - Senior (Tenure-Track) Assistant Professor (RTD-B) is for three years. Subject to evaluation, the position will be converted in a tenured Associate Professorship. Applicants for this position must have at least three years of experience after PhD completion, and an already established research record. The initial gross salary is around 38k Euros per year A four-year tax exemption on 90% of the salary is available according to the Italian tax law for those candidates who have been residing outside Italy for 2 years or more. All positions will start not earlier than 2019. Moreover, the MIUR Excellence Grant will provide special funds to attract PhD students and PostDocs to join the Department and host large scientific events as well as other activities such as PhD courses, seminars and workshops. Procedure: Applicants should express their interest by sending an email to progetto(a)mat.uniroma2.it, including a Curriculum Vitae and a list of publications. The subject of the email should be Associate-surname or RTDB-surname. Selected candidates could be invited for a seminar. There are no restrictions regarding the nationality of the applicants. Please note that this is a call for interest, not a job vacancy announcement; i.e., this call is only a preliminary stage aimed to collect expressions of interest, and it is not a formal application for positions. On the basis of the collected EoIs, the Department will decide whether or not to open a position in specific subdisciplines. Academic positions in Italy can only be awarded through a public competition or direct appointment. The Department will contact the applicants to inform them about the opening of the formal positions and the required documentation. For additional information, please contact us at: progetto(a)mat.uniroma2.it

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seminario DISMA-Politecnico di Torino
by Paola Siri 09 Jun '18

09 Jun '18

Mercoledì 13 Giugno alle ore 15.00 presso l’aula 1D del Politecnico di Torino (Corso Duca degli Abruzzi 24 - 10129 Torino) il prof. GIOVANNI PISTONE (Collegio Carlo Alberto, Torino) terrà un seminario dal titolo Non-Parametric Information Geometry with Derivatives Tutti gli interessati sono invitati a partecipare. Paola Siri Barbara Trivellato ———————————————————————- Paola Siri DISMA - Politecnico di Torino Corso Duca degli Abruzzi 24 - 10129 Torino tel. +39 11 090 7550 e-mail: paola.siri(a)polito.it

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Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST
by Luigi Malagò 08 Jun '18

08 Jun '18

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2.5 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 30 June 2018 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positio ns-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2.5 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-lea rning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 30 June 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

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Seminario di Stefano Favaro, CNR IMATI, Milano
by antonio.pievatolo＠cnr.it 07 Jun '18

07 Jun '18

Il prof Stefano Favaro terrà un seminario al CNR-IMATI, sede di Milano, mercoledì 13/6/2018 alle 14:30, via Alfonso Corti 12, aula A. Chi intendesse partecipare è pregato di comunicarlo a simona.milani(a)mi.imati.cnr.it per ragioni organizzative. Cordialmente A. Pievatolo %%%%%%%%% titolo e abstract %%%%%%%%%%% A Bayesian approach to disclosure risk assessment Protection against disclosure is a legal and ethical obligation for statistical agencies releasing microdata files for public use. Given a cross classification of sample records by categorical key variables, any decision about release is supported by measures of disclosure risk, the most common being the number $\tau_{1}$ of sample uniques cells that are also population uniques. In this paper we depart from the dominant literature that infers $\tau_{1}$ by modeling association among key variables, and we consider modeling directly sample records. We develop a novel nonparametric Bayesian approach under the minimal assumption of a generalized Dirichlet prior for the random partition induced by the cross-classified sample records. This allows to derive an explicit, and simple, expression for the posterior distribution of $\tau_{1}$, as well as a large sample Binomial approximation of it. Such a closed-form results, combined with an estimator for prior parameters designed in such a way to recognizes a primary role of small cells, make inference on $\tau_{1}$ exact, of easy implementation, computationally efficient and scalable to massive datasets. The proposed approach is tested on benchmark data from the U.S. 2000 census for the state of California, showing the same good performance of recent semiparametric Bayesian models for key variables. -- Dr Antonio Pievatolo IMATI-CNR http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101

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Fwd: postdoc position in Budapest
by Giacomo Scandolo 07 Jun '18

07 Jun '18

Ricevo e inoltro -------- Messaggio originale -------- Oggetto: postdoc position in Budapest Data: Martedì 29/05/2018 10:14 Mittente: rasonyi <rasonyi.miklos(a)renyi.mta.hu> PostDoc position (Rényi Institute, Budapest) There is a vacancy for a one-year PostDoc research assistant position at Rényi Institute, Budapest, in the Financial Mathematics Group led by Miklós Rásonyi. The position is funded by a grant of the Hungarian Academy of Sciences. The project is about optimal investment in financial markets where stock prices are modelled by Markov processes in random environments. A typical example is the fractional stochastic volatility model (and its discrete-time counterparts). A completed PhD is required, in any subfield of probability. Starting date is 1st October 2018. If you wish to apply, please send a CV, your papers (or links to them) and the names and email addresses of two referees to Miklós Rásonyi (rasonyi(a)renyi.hu). You may also contact him to obtain further information about this position. Deadline: 1st July 2018.

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