Random

random@lists.dm.unipi.it

25 participants
5099 discussions

Annuncio di seminari
by Piccioni, Mauro 15 Feb '17

15 Feb '17

Il giorno 21 febbraio 2017 presso l'Aula E del Dipartimento di Matematica, Sapienza Università di Roma si terranno i seguenti seminari di Probabilità e Statistica Matematica: Ore 14.30 Wolfgand Woess (TU Graz, Austria) Multidimensional reflected random walk - some results and many questions Abstract: Let (Y_n,V_n) be i.i.d. distributed, with the components r and s-dimensional, respectively. Reﬂected random walk starting at a point x of the positive r-dimensional orthant is deﬁned recursively by X_0 = x, X_n = |X_{n−1}−Y_n|, where |(a_1,...,a_r)| = (|a_1|,...,|a_r|). In R^s, consider the ordinary sum S_n = V_1 +···+V_n . We are interested in (topological) recurrence of the process (X_n,v+S_n) starting at (x,v). While this is quite well understood for refelcted random walk with r=1, in higher dimension (r \geq 2) or with some non-reﬂected coordinates (s \in {1,2}) we have a few basic results and various open questions with some partial answers. This is work with Judith Kloas, with input from Marc Peigne' and Wojciech Cygan. Ore 15.30 Oriane Blondel (CNRS Lyon, France) More random walks on random walks Abstract: We consider a Poissonian distribution of particles performing independent simple random walks. Simultaneously, on top of this system, a random walker evolves with a drift to the right when it is on top of (at least) a particle, to the left when it is on an empty site. We obtain a LLN, CLT and large deviation bounds in high and low density. Joint work with Marcelo Hilario, Renato dos Santos, Vladas Sidoravicius, Augusto Teixeira. Tutti gli interessati sono invitati a partecipare. per informazioni rivolgersi a piccioni(a)mat.uniroma1.it

1 0

Seminario Prof. Giorgio Ferrari
by Tiziano Vargiolu 15 Feb '17

15 Feb '17

Il giorno martedi' 21 febbraio alle ore 11 presso il Dipartimento di Matematica dell'Universita' di Padova, via Trieste 63, aula 1AD/100, il prof. Giorgio Ferrari dell'Universita' di Bielefeld, e ospite del Dipartimento di Matematica in qualita' di professore visitatore nell'ambito del progetto YITP (Young Investigation Training Program), terra' un seminario dal titolo Controlling Public Debt without forgetting Inflation Abstract -------- Consider a government that wants to control its debt-to-GDP (gross domestic product) ratio, while taking into consideration the evolution of the inflation rate of the country. The uncontrolled inflation rate follows an Ornstein-Uhlenbeck dynamics and affects the growth rate of the debt ratio. The level of the latter can be reduced by the government through fiscal interventions. The government aims at choosing a debt reduction policy which minimises the total expected cost of having debt, plus the total expected cost of interventions on debt ratio. We model such problem as a two-dimensional singular stochastic control problem over an infinite time-horizon. We show that it is optimal for the government to adopt a policy that keeps the debt-to-GDP ratio under an inflation-dependent ceiling. This curve is the free-boundary of an associated fully two-dimensional optimal stopping problem, and it is shown to be the unique solution of a nonlinear integral equation. Finally, some economic conclusions are drawn. Tutti gli interessati sono invitati a partecipare. Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

1 0

BISP10, Milano, June 2017-extended deadlines
by fabrizio＠mi.imati.cnr.it 15 Feb '17

15 Feb '17

The 10th workshop on Bayesian Inference for Stochastic Processes (BISP10) will take place in Milano, Italy, on June 13-15, 2017. ** The online abstract submission (for oral or poster presentation) is extended to the 28th of February ** Theoretical and applied contributions on Bayesian inference in stochastic processes are both welcome. A non-exhaustive list of topics includes Markov processes, temporal and spatial processes, computations and methods for complex structures, empirical processes, birth-death and branching processes, networks and relational data, queuing, signal processes, stochastic differential equations. BISP10 is dedicated to Pietro Muliere, on his 70th birthday. All information can be found on the website : www.unibocconi.eu/bisp10 If you have any questions, please contact the Chairs of the Local and Scientific Committees: Sonia Petrone sonia.petrone(a)unibocconi.it and Fabrizio Ruggeri fabrizio(a)mi.imati.cnr.it Best wishes, and we look forward to welcoming you in Milano at BISP10. Sonia Petrone & Fabrizio Ruggeri -- Fabrizio Ruggeri fabrizio AT mi.imati.cnr.it CNR IMATI tel +39 0223699532 Via Bassini 15 fax +39 0223699538 I-20133 Milano (Italy) web.mi.imati.cnr.it/fabrizio

1 0

Seminario Dott.ssa Zehra Eksi
by Katia Colaneri 14 Feb '17

14 Feb '17

Il giorno giovedì 16 febbraio alle ore 16 presso il Dipartimento di Economia dell'Università di Perugia, la Dott.ssa Zehra Eksi, Assistant Professor presso la WU-Vienna University of Economics and Business, e ospite del Dipartimento di Economia in qualità di professore visitatore nell'ambito del progetto YITP (Young Investigation Training Program), terrà un seminario dal titolo "EM Algorithm for Markov Chains observed via Gaussian Noise and Point Processes Information" *Abstract*: In this paper we obtain an Expectation-Maximization (EM) algorithm for a setting in which the state variable follows a finite-state Markov chain observed via diffusive and point process information. Such a setting may arise, for example, in the modelling of sovereign credit risk where information stems from default history (jump component) and CDS spreads (diffusive component). Obtaining the EM algorithm amounts to the derivation of finite-dimensional filters for quantities such as number of jumps and sojourn times associated to the Markov chain. In this context, we obtain both exact and unnormalized filters for the related quantities. Moreover, we compute discretized robust versions of the unnormalized filters. Next, we introduce a novel goodness of fit test to check how well the estimated model explains a given data set. Finally, we run a simulation study to test speed and accuracy of the algorithm. In particular, we provide a comparison for the estimates resulting from the robust and naive discretization and the value of point process information (This is a Joint work with Camilla Damian and Ruediger Frey) Tutti gli interessati sono invitati a partecipare. Dott.ssa Katia Colaneri Department of Economics, University of Perugia Via A. Pascoli 20, Perugia 06123- Italy e-mail: katia.colaneri@unipg <katia.colaneri(a)gmail.com>.it

1 0

Mini-workshop announcement: Stochastic Analysis Day 2017, Monday, February 27, Pisa
by Carina Geldhauser 13 Feb '17

13 Feb '17

Stochastic Analysis Day 2017 The Stochastic Analysis Day 2017 will take place on Monday, February 27, at the Department of Mathematics of the University of Pisa. Speakers: * J.C. Alfonso Lopez (Braunschweig) * L. Bianchi (Berlin) * T. Funaki (Tokyo) * C. Geldhauser (Pisa) * H. Hatzikirou (Braunschweig) *M. Maurelli (Berlin) More information can be found on the website http://www.dm.unipi.it/pages/romito/SPASS/workshop/20170227/ Registration is not obligatory, but highly recommended for organizational purposes. To register, please contact the organizers.

1 0

WIRN 2017 - First Call for Papers - 27th Italian Workshop on Neural Networks
by Marco Corazza 13 Feb '17

13 Feb '17

*** WIRN 2017 - First Call for Papers *** *** 27th Italian Workshop on Neural Networks *** *** June 14-16, Vietri sul Mare, Salerno, Italy *** WIRN 2017 – PRELIMINAY CALL FOR PAPERS The Italian Workshop on Neural Networks (WIRN) is the annual conference of the Italian Society of Neural Networks (SIREN). The conference is organized in co-operation with the International Institute for Advanced Scientific Studies (IIASS) of Vietri S/M (Italy), and is a traditional event devoted to the discussion of novelties and innovations related to field of Artificial Neural Networks. In recent years, it also became a multidisciplinary forum on psychological and cognitive theories for modelling human behaviours. The 27th Edition of the Italian Workshop on Neural Networks (WIRN 2017) will be held at the IIASS of Vietri sul Mare, near Salerno, Italy. CALL FOR PAPERS, SPECIAL SESSIONS PROPOSALS: Prospective authors are invited to contribute high quality papers in the topic areas listed below and proposals for special sessions. Special sessions aim to bring together researchers in special focused topics. Each special session should include at least 3 contributing papers. A proposal for a special session should include a summary statement (1 page long) describing the motivation and relevance of the proposed special session, together with the article titles and author names of the papers that will be included in the track. Contributions should be high quality, original and not published elsewhere or submitted for publication during the review period. Please visit the web site for further details of the required paper format. Papers will be reviewed by the Program Committee, and may be accepted for oral or poster presentation. All accepted contributions will be published in a special volume printed by Springer and indexed by SCOPUS. Authors will be limited to one paper per registration. Manuscripts should not exceed the limit of 8 pages. The description of the submission procedure will appear soon on the SIREN Website www.associazionesiren.org TOPIC AREAS: Suggested topics for the conference include, but are not limited to, the following research and application areas: - General Topics of Interest about Computational Intelligence: Neural Networks, Fuzzy Systems, Evolutionary Computation and Swarm Intelligence, Support Vector Machines, Complex Networks, Bayesian and Kernel Networks, Consciousness and Models of Emotion Cognitive and Psychological Models of Human Behavior. - Algorithms & Architectures: Among others: Opportunist Networks, Metabolic Networks, ICA and BSS, Deep Neural Networks, Bio-inspired Neural Networks, Wavelet Neural Networks, Intelligent Algorithms for Signal (Speech, Faces, Gestures, Gaze, etc) Processing and Recognition. - Implementations: Among others: Hardware Implementations and Embedded Systems, Neuromorphic Circuits and Hardware, Spike-based VLSI NNs, Intelligent Interactive Dialogue Systems, Embodied Conversational Agents. - Applications: Among others: Finance and Economics, Big Data Analysis, Neuroinformatics and Bioinformatics, Brain-Computer Interface and Systems, Data Fusion, Time Series Modelling and Prediction, Intelligent Infrastructure and Transportation Systems, Sensors and Network of Sensors, Smart Grid, Process Monitoring and Diagnosis, Intelligent and Adaptive Systems for Human-Machine Interaction. PAPER SUBMISSION: Important Dates - Special Session/Workshop proposals: March 16, 2017; - Paper Submission deadline: April 16, 2017; - Notification of acceptance: May 16, 2017; - Camera-ready copy: on site, June 1, 2017; - Conference Dates: June 14-16, 2017. More detailed instructions will follow soon on the SIREN home page www.associazionesiren.org or in www.wirn2017.polito.it. -- Marco Corazza Department of Economics Ca' Foscari University of Venice San Giobbe, Cannaregio 873 30121 Venezia, Italy Mobile: (+39) 366 602-9134 Phone: (+39) 041 234-6921 Fax: (+39) 041 234-7444 E-mail: corazza(a)unive.it --

1 0

PhD in Financial Mathematics at the Scuola Normale Superiore (Pisa). Call 2017-2018
by Fabrizio Lillo 12 Feb '17

12 Feb '17

The call for applications to the 2017/2018 PhD program in Financial Mathematics at the Scuola Normale Superiore, Pisa, has been published on the web site http://phd.sns.it/call-2017-2018/, and on the home page of the institutional web site of the Scuola (www.sns.it). The deadline is February 20, 2017 Should you need any further information, please address your request to Fabrizio Lillo (fabrizio.lillo(a)sns.it). Thank you very much in advance. ---------------------------------------- Fabrizio Lillo Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa ITALY New website: fabriziolillo.wordpress.com phone: +39 050509159

1 0

seminario Cosimo Munari in Bicocca /2
by Fabio Bellini 10 Feb '17

10 Feb '17

1 0

seminario Cosimo Munari in Bicocca /2
by Fabio Bellini 10 Feb '17

10 Feb '17

1 0

2 Seminari Firenze 14/2/17 ore 10 al DISEI
by cecilia mancini 09 Feb '17

09 Feb '17

Nell'ambito del ciclo di seminari del Dipartimento di Scienze per l'Economia e l'Impresa (DISEI) dell'Universita' di Firenze, il giorno Martedì 14 Febbraio 2017 (Edificio D6/Aula Bracco, ossia 1.12): si terranno i seguenti 2 seminari ore 10 Francesca Lilla (Università di Bologna) OPTION PRICING WITH HIGH FREQUENCY ESTIMATES OF CONTINUOUS AND DISCONTINUOUS VOLATILITY COMPONENTS ore 11 Susana Martins, University of Minho & NIPE, Braga, Portugal MODELLING SOVEREIGN DEBT CONTAGION: A SMOOTH TRANSITION APPROACH 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 Abstract dei seminari OPTION PRICING WITH HIGH FREQUENCY ESTIMATES OF CONTINUOUS AND DISCONTINUOUS VOLATILITY COMPONENTS Jump-diffusion model represents the popular approach to match return stylized facts. Its estimation is simplified since prices are observable quantities, but it does not appear to be sufficient to yield the rapid increases in volatility which have been historically experienced. Examining price evolution at ultra high frequency, traditional measures of jump variation tend to spuriously assign a burst in volatility to the jump components. What jump-diffusion model identifies as genuine price jumps are period of heightened volatility. Starting from these findings, I develop a new multifactor volatility model, labeled as VARG-J, in which volatility is decomposed in two components: continuous and discontinuous. The first involves small changes while the second occasional big moves. The VARG-J model belongs to the class of affine discrete-time models based on high frequency volatility measures. The pricing approach performed in this paper allows to incorporate risk premia in order to compensate for two new sources of risk concerning both volatility components, beyond the risk related to shocks in log-returns. Combining high-frequency returns and option data, the empirical analysis illustrates that volatility jump component is a key ingredient for reproducing the observed volatility smile and for improving the pricing performances of S&P 500 Index options. MODELLING SOVEREIGN DEBT CONTAGION: A SMOOTH TRANSITION APPROACH ABSTRACT: In this paper, we study the timing and extent of the European sovereign debt contagion across nine Eurozone countries from 2005 until 2016. In this setting, financial contagion is measured as a significant increase in cross-market correlations which are assumed to follow a Smooth Transition Conditional Correlation (STCC-) GARCH model. The cross-market correlations change smoothly between two extreme states according to an observable transition variable. This variable is specified both as a function of time and lagged returns. When using time, a pre-crisis and two crises sub-periods are identified. Our results suggest contagion effects within the periphery countries, notably from Greece and Portugal, and between the periphery and core countries.

1 0

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

Random