Random

random@lists.dm.unipi.it

25 participants
5100 discussions

PhD course by Costantinos Kardaras (LSE) in Padova
by Giorgia Callegaro 28 Mar '17

28 Mar '17

Dear all, this is to invite you to the PhD course which will be given next week by Costantinos Kardaras (LSE) at the Mathematics Department of the University of Padova. All the details follow: *Title*: *Growth optimality and recent applications to probability* *Timetable*: - April 3rd, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30 - April 4th, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30 - April 5th, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30 - April 6th, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30 - April 7th, 2017, 16:00 - 17:30 Torre Archimede, Room 2BC/30 *Course requirements*: Probability and Stochastic Calculus *SSD*: MAT/06 and SECS-S/06 *Aim*: This course aims at providing an overview on recent developments in the Mathematical Finance research field, having as a central idea in mind the role of the growth optimal portfolio. Course contents: These lectures will touch upon recent developments in the applied probability, and more precisely mathematical finance. The vessel that is used to connect different topics is that of growth optimality, a notion that has proved extremely fruitful. A representative collection of what will be covered are applications in arbitrage theory, constrained optimisation, filtration enlargement, and semimartingale theory. Other areas of application, such as economics, robust optimisation, and even functional analysis, will be also discussed (if time permits). Thanks and have a nice day, 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

1 0

Cladag2017 - deadline 31 March for paper submission
by Francesca Greselin 27 Mar '17

27 Mar '17

The list of Invited Sessions for the Cladag2017 International Conference <http://www.cladag2017.unimib.it/>, including three exciting Keynote Talks, given by Antony Davison, J. Sunil Rao and Roberto Rocci, are currently available. Researchers interested in *classification, clustering, data analysis, multivariate analysis, computational statistics and their applications *are invited to participate. The conference will take place at the University of Milano-Bicocca in Milan, from 13-15 September. Invited sessions will include: Statistical models for complex extremes Classified Mixed Model Prediction New methods for clustering ordinal data Classification models in economics and business Advances in Classification and Clustering of Complex Data Network Analysis with applications on biological, financial and social networks Advances in Functional data analysis Heterogeneity and new statistical models Advances in Ordinal and Preference Data Advances in Biostatistics Innovative applications of multidimensional scaling and related techniques Latent class analysis Classification and Visualization Advances in Credit Risk Modeling Robust Clustering Designing clinical trials Big data and Design of Experiments Submissions for contributed, as well as invited talks, are currently open <http://www.cladag2017.unimib.it/registration-and-submission/submission/>, with a deadline of *31 March*. Talks can be one any topic related to statistics, data classification and the analysis of data. Submissions for posters are also welcomed. Registration for the conference is open <http://www.cladag2017.unimib.it/registration-and-submission/registration/>, with early booking discounts available until *30 May*. Francesca Greselin Chair of the Organizing Committee

1 0

Seminar announcement, prof A. Cerny - LUISS G. Carli Roma
by Sara 27 Mar '17

27 Mar '17

Dear all, Professor A. Cerny from Cass will be visiting LUISS and on Tuesday April 4, at 12 in Room A410 -- 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/

1 0

Seminario a Firenze 28/3: Statistical inference of supOU and mixed moving average processes, Imma Curato
by Cecilia Mancini 27 Mar '17

27 Mar '17

Nell'ambito del ciclo di seminari del Dipartimento di Scienze per l'Economia e l'Impresa (DISEI) dell'Universita' di Firenze Martedì 28 Marzo 2017 (Edificio D6/Aula Bracco) ore 14.00 Imma Curato (Ulm University) terrà un seminario dal titolo: "Statistical inference of supOU and mixed moving average processes" ----- Tutti gli interessati sono cordialmente invitati a partecipare. La lista dei seminari Disei è raggiungibile al seguente indirizzo: http://www.disei.unifi.it/vp-104-seminari.html

1 0

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

1 0

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

1 0

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

1 0

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

1 0

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

1 0

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.

1 0

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

Random