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PhD in Economics, Ca' Foscari University of Venice - Call for application 2017-18
by Antonella Basso 22 Mar '17

22 Mar '17

Dear Colleague, I would be grateful if you could bring to the attention of your best students the new edition 2017-2018 of the PhD Program in Economics offered by the Ca' Foscari University of Venice. The PhD Program in Economics aims at training selected students for a career as economists in academic institutions or in research departments of national and international organizations, public institutions, private corporations, central banks, financial institutions. Here <http://www.unive.it/pag/fileadmin/user_upload/scuole/graduate/documenti/201…> you can find the first placement of last years' PhDs. The considerable diversification of research areas covered by the members of Department of Economics and their international reputation provide an excellent environment where students of most fields in economics can find research ideas and tight guidance for their doctoral studies. The PhD program has a duration of _four years.__ ___ For the academic year 2017-2018, 5 positions are available, all of them come with a scholarship (around 13,700 € per year). Deadline for application is *April 27th* 2017, 13h00 (Italian time). Information and application procedure can be found at http://www.unive.it/phdapplication <http://www.unive.it/phdapplication> Information on the PhD in Economics can be found at http://www.unive.it/phdeconomics <http://www.unive.it/phdeconomics> Any questions on the program may be addressed to sse(a)unive.it <mailto:sse@unive.it> I also attach to this email a flyer I would be grateful if you could print and post in your department. Finally, two ExSIDE doctoral position based in Venice are still open. ExSIDE is an innovative training program that will give successful applicants a double/joint PhD degree from two universities. Project n. 2 deals with experimental economics in broad sense; project n. 15 will develop agent-based models of tax evasion. Further details can be found at http://exside-itn.eu/ . Successful candidates will get a generous scholarship (the gross monthly wage is above 3000€). Thank you for your cooperation Best regards Antonella Basso -- Antonella Basso Prorettore alla Programmazione e Valutazione - Prorector at Planning and Valuation Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 E-mail address: basso(a)unive.it Web page: http://www.unive.it/data/persone/5591751

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Politecnico di Milano - Seminario Eva Fiserova e Karel Hron
by Laura M. Sangalli 21 Mar '17

21 Mar '17

Si avvisa che in data 06-04-2017, alle ore 14:00 precise, presso l'Aula Seminari "F. Saleri" VI piano - Dipartimento di Matematica, Politecnico di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente seminario: Relatori: Eva Fiserova e Karel Hron, Palacky University, Olomouc, Czech Republic Titolo: Regression analysis for compositional data from perspective of the logratio approach Sommario: Regression analysis is an important tool for analysing the relationships between the response variable and known explanatory variables. When the response variables or explanatory variables are compositional, i.e. multivariate observations carrying only relative information (proportions, percentages), a special treatment in regression is necessary. Compositional data are characterized by the simplex sample space with the Aitchison geometry that forms the Euclidean structure. Proper statistical methodology for this kind of observations is the logratio methodology that enables to express the data isometrically in the real Euclidean space where it is possible to apply standard statistical tools (Aitchison, 1986; Pawlowsky-Glahn et al., 2015). The lecture is focused on three main regression tasks, where compositional data are involved: either regression with a compositional response variable, or regression with compositional explanatory variables, or regression between parts of a composition. The main methodological approach for dealing with compositional regression is based on orthonormal logratio coordinates. Although regression models in orthonormal logratio coordinates are theoretically well justified, both the normalizing constants to reach orthonormality and the natural logarithm itself result in quite a complex interpretation of the regression parameters. In the lecture, we will present new orthogonal logratio coordinates (Muller et al., 2017) in order to achieve better interpretability of regression parameters while preserving all important features of regression models for compositional data. Theoretical results will be applied to real-world examples. Docente di riferimento: Alessandra Menafoglio, alessandra.menafoglio(a)polimi.it Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Laura Sangalli -- Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it url: http://mox.polimi.it/~sangalli

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Seminar by Matteo Basei in Padova
by Giorgia Callegaro 20 Mar '17

20 Mar '17

Dear all, this is to announce a seminar which will be given by Matteo Basei (Université Paris VII) at the Mathematics Department of the University of Padova. The title and all the details follow: *Title* : *Coordination of centralized and distributed generation: a linear-quadratic McKean-Vlasov control problem* *Date and time*: 29 March 2017 at 13 *Room*: 2 BC 30 See you soon, Giorgia Callegaro -- Giorgia Callegaro Assistant Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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Annuncio di seminario
by Piccioni, Mauro 20 Mar '17

20 Mar '17

Seminario di probabilità e statistica matematica Lunedì 27 marzo, ore 16:00 Aula di Consiglio del Dipartimento di Matematica “Guido Castelnuovo” Sapienza Università di Roma MASSIMO CAMPANINO (Dipartimento di Matematica, Università di Bologna) Recurrcnce properties for random walks on a two-dimensional random graph. In [1] a random walk on a bi-dimensional random graph was studied. This model had been previously introduced in the physical literature. and studied numerically. It is established in [1] that, in contrast with the corresponding periodic graph, this random walk is transient with probability one with respect to the random environment. Subsequently several papers appeared on related models ([3], [4] [5] [6]). The results of [1] have been used in [7] to study a model of corner percolation on Z2. In [2] transience was obtained on a more general random environment and a transition from recurrence to transience has been proved to occur. At the moment work is going on in collaboration with G. Bosi to study the problem on a honeycomb random graph. [1] M. Campanino, D. Petritis. Random walks on randomly oriented lattices. Markov Process. Relat. Fields 9, 391-412 (2003). [2] M. Campanino, D. Petritis. Type transition of simple random walks on randomly directed regular lattices, J. Appl. Prob. 51, 1065-1080 (2014). [3] B. De Loynes. Marche aleatoire sur un di-graphe et frontière de Martin. C. R. Acad. Sci. Paris 350, 87-90 (2012). [4] A. Devuldier, F. Pene. Random walk in random environment in a two-dimensional stratified medium with orientation. Electron. J. Prob. 18, no. 18 (2013). [5] Guillotin-Plantard, A, Le Ny. A functional limit theorem for a 2D-random walk with dependent marginals. Electron. Commun. Prob. 13, 337-351 (2008). [6] Guillotin-Plantard, A, Le Ny. Transient random walks on 2D-oriented lattice. Theory Prob. Appl. 52, 699-711 (2008). [7] G. Pete. Corner percolation on Z2 and the square root of 17. Ann. Prob. 36, 1711-1747 (2008). Tutti gli interessati sono invitati ad intervenire. Per informazioni rivolgersi a piccioni(a)mat.uniroma1.it

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Applied Bayesian Statistics School - Como- June 19-23, 2017
by Consonni Guido 19 Mar '17

19 Mar '17

We would like to remind you that April, 1st is the deadline for early registration to ABS17 - ABS (Applied Bayesian Statistics) Summer school on MODELING SPATIAL AND SPATIO-TEMPORAL DATA WITH ENVIRONMENTAL APPLICATIONS Villa del Grumello, Como, Italy --- 19-23 June 2017 www.mi.imati.cnr.it/conferences/abs17/home.htm There are many reasons to attend the school. We just mention three of them: 1) The 2017 lecturer is Prof. Bruno Sanso' (University of California at Santa Cruz, USA), an outstanding scholar in Bayesian analysis and modeling with special reference to time series and spatial data. He is the current Editor-in-Chief of Bayesian Analysis, the official ISBA (International Society for Bayesian Analysis) journal, former Member of the Executive Board of TIES (The International Environmetrics Society), former Chair of the ASA (American Statistical Association) Advisory Committee for Climate Change and former Chair of the ISBA Section on Environmental Sciences. 2) The ABS school has a solid reputation in organizing short intensive courses on topics of broad interest. It has been running every year since 2004 with leading researchers presenting state-of-the-art Bayesian methods for applications, combining theoretical lectures and practical sessions, and fostering intereaction among participants in a very stimulating environment. 3) Last but not least, the school will be held in Villa del Grumello, a magnificent villa facing Lake Como, a renowned Italian tourist attraction. Best regards Raffaele Argiento, Guido Consonni and Fabrizio Ruggeri 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 Master in Data Science for Management master.unicatt.it/datascience

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Avviso di seminario :: Rue@DSS (Scienze Statistiche, Sapienza)
by Pierpaolo Brutti 17 Mar '17

17 Mar '17

----------------------------------------------------------------------------- A v v i s o d i S e m i n a r i o ----------------------------------------------------------------------------- Giovedì 23 Marzo, ore 11:00am ----------------------------------------------------------------------------- Aula III (terzo piano) Dipartimento di Scienze Statistiche Sapienza Università di Roma HÅVARD RUE (KAUST, http://www.r-inla.org/) terrà un seminario dal titolo PENALISING MODEL COMPONENT COMPLEXITY: A PRINCIPLED PRACTICAL APPROACH TO CONSTRUCTING PRIORS tutti gli interessati sono invitati a partecipare. ----------------------------------------------------------------------------- Saluti Pierpaolo Brutti --- ABSTRACT Setting prior distributions on model parameters is the act of characterising the nature of our uncertainty and has proven a critical issue in applied Bayesian statistics. Although the prior distribution should ideally encode the users’ uncertainty about the parameters, this level of knowledge transfer seems to be unattainable in practice and applied statisticians are forced to search for a “default” prior. Despite the development of objective priors, which are only available explicitly for a small number of highly restricted model classes, the applied statistician has few practical guidelines to follow when choosing the priors. An easy way out of this dilemma is to re-use prior choices of others, with an appropriate reference. In this talk, I will introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components, which defines the model component to be a flexible extension of a base model. Proper priors are defined to penalise the complexity induced by deviating from the simpler base model and are formulated after the input of a user-defined scaling parameter for that model component, both in the univariate and the multivariate case. These priors are invariant to reparameterisations, have a natural connection to Jeffreys’ priors, are designed to support Occam’s razor and seem to have excellent robustness properties, all which are highly desirable and allow us to use this approach to define default prior distributions. Through examples and theoretical results, we demonstrate the appropriateness of this approach and how it can be applied in various situations, like random effect models, spline smoothing, disease mapping, Cox proportional hazard models with time-varying frailty, spatial Gaussian fields and multivariate probit models, etc. Further, we show how to control the overall variance arising from many model components in hierarchical models. This is joint work with a lot of people related to the R-INLA project, and is still work in progress.

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Workshop in Robust Finance, 26-28 April 2017 in Zurich
by Matteo Burzoni 16 Mar '17

16 Mar '17

Dear Colleagues, on behalf of the organising committee it is a pleasure to announce that the workshop "Young Researchers in Robust Mathematical Finance" will take place in Zürich on 26-28 April 2017. The keynote speakers are: Beatrice Acciaio (London School of Economics) Francesca Biagini (LMU München) Rama Cont (Imperial College London and CNRS) Alex Cox (University of Bath) Yan Dolinsky (Hebrew University of Jerusalem) Additionally, 14 young researchers working on topics related to robust, model-independent or pathwise mathematical finance will give 30 minute presentations. The workshop will start at 9 a.m. on the 26th and finish around 2 p.m. on the 28th with a plenary discussion involving all the keynote speakers and some professors from ETH. You can find more detailed information on the website of the workshop: https://people.math.ethz.ch/~prodavi/workshop.html. The registration is free of charge, for organizational purposes we kindly ask you to send an email to david.proemel(a)math.ethz.ch no later than 8th of April if you wish to participate. Poster presentations are welcome and encouraged. If you wish to present a poster, please send us title and abstract in your registration email. We look forward to welcoming you in Zürich. Best regards, Matteo Burzoni (ETH Zürich) Ariel Neufeld (ETH Zürich) David Prömel (ETH Zürich) Candia Riga (University of Zürich)

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post-doc positions at Scuola Normale, Pisa
by Davide Erminio Pirino 16 Mar '17

16 Mar '17

Dear all, the Scuola Normale Superiore <http://en.sns.it/> (SNS) has opened two new post-doctoral positions (assegno di ricerca) financed under the SIR program "A New Measure of Liquidity" <https://davidepirino7.wixsite.com/davidepirino/projects> and the SNS <http://normalenews.sns.it/nasce-il-dynamics-and-information-research-instit…> -UniCredit <https://www.unicreditgroup.eu/it/press-media/press-releases/2014/nasce-il--…> collaboration "Dynamics and Information Research Institute". Please follow this link <http://en.sns.it/bando/research-contract-named-%E2%80%9Ctopological-time-se…> to apply for the position "Topological Time Series Analysis" and this link <http://en.sns.it/bando/research-contract-named-%E2%80%9Cmeasures-illiquidit…> to apply for the position "Measures of illiquidity in financial markets using infill asymptotics". The deadline is *April, 3, 2017*. Regards, Davide.

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Invitation to upcoming PhD course
by Daniele Marazzina 15 Mar '17

15 Mar '17

Con preghiera di diffusione To Whom It May Concern >>>>>> Upcoming PhD Course <<<<<<<<<<<<<<<<<<<<<<<<<<<< Giorgia Callegaro (Università degli Studi di Padova) Lucio Fiorin (Università degli Studi di Padova) Daniele Marazzina (Politecnico di Milano) Option Pricing: from Monte Carlo Methods to Quantization The PhD Course (5 CFU) will take place in the Seminar Room of the Third Floor of the Department of Mathematics, Politecnico di Milano, in via Bonardi, 9, Milano, according to the following calendar: > May, 8th: 11am-1pm and 2pm-6pm > May, 9th: 9am-1pm and 2pm-4pm > May, 15th: 11am-1pm and 2pm-6pm > May, 16th: 9am-1pm and 2pm-4pm > May, 17th: 10am-12pm and 1pm-3pm For further details, please contact Daniele Marazzina daniele.marazzina(a)polimi.it Giorgia Callegaro gcallega(a)math.unipd.it >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Abstract: Monte Carlo methods are extensively used in finance to value and analyze complex instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value. The advantage of Monte Carlo methods over other techniques increases as the dimensions (sources of uncertainty) of the problem increase. However, it is well known that the disadvantage of Monte carlo methods is the slow convergence, and thus the high computational cost of the algorithms. Quantization is a way to approximate a random vector or a stochastic process using a nearest neighbour projection on a finite codebook. The birth of quantization dates back to the 1950s, when in the Bell laboratories ad hoc signal discretization procedures were developed for signal transmission. In the last years, Quantization has been deeply considered in numerical probability, especially for solving problems arising in mathematical finance, presenting itself as a de facto alternative to Monte Carlo methods. The purpose of the course is to highlight the characteristics of the two methodologies and to deeply analyze (and implement) their applications in financial context, mainly option pricing.

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UiO - PhD and PostDoc in stochastic analysis available
by Giulia Di Nunno 14 Mar '17

14 Mar '17

Dear Colleagues, this is to bring to your attention the available calls for 2 PhD positions and 1 PostDoc at the Department of Mathematics, University of Oslo. The descriptions are a little different from each other and can interest various candidates. https://www.jobbnorge.no/ledige-stillinger/stilling/135500/phd-research-fel… https://www.jobbnorge.no/ledige-stillinger/stilling/135491/phd-research-fel… https://www.jobbnorge.no/ledige-stillinger/stilling/134569/postdoctoral-res… Please help to distribute the information among your students and contacts. Thank you in advance for your help. Best regards, Giulia -- Giulia Di Nunno Professor Department of Mathematics University of Oslo http://folk.uio.no/giulian/

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