Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications

Silva, João Lita da|Caeiro, Frederico|Natário, Isabel

ISBN 10: 364234903X / ISBN 13: 9783642349034

Editore: Springer Berlin Heidelberg, 2013

Riguardo questo articolo

Codice articolo 5057777

Dati bibliografici

• Titolo: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
• Editore: Springer Berlin Heidelberg
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 364234903X
• ISBN 13: 9783642349034
• Rilegatura: Rilegato
• Condizione: New
• Cataloghi dei venditori:
  • Mathematik/Naturwissenschaften/Technik/Medizin

Descrizione articolo

Riassunto

This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009. It covers a broad scope of theoretical, methodological as well as application-oriented articles in domains such as: Linear Models and Regression, Survival Analysis, Extreme Value Theory, Statistics of Diffusions, Markov Processes and other Statistical Applications.

Informazioni sull'autore

João Lita da Silva, born in November 1975, completed his first degree in Mathematics in 1997 and his M.Sc. on Functional Analysis and Partial Differential Equations in 2001 at the University of Lisbon. He received his Ph.D. in Statistics from the New University of Lisbon in 2007. His research interests include Partial Differential Equations, Probability Theory and Statistics.

Frederico Caeiro is an Assistant Professor at the Department of Mathematics, Faculdade de Ciências e Tecnologia – Universidade Nova de Lisboa (Faculty of Sciences and Technology - New University of Lisbon). He received his Ph.D. in Statistics at the University of Lisbon in 2006. His main research interests are Extreme Value Theory, Computational Statistics and Distributional Theory.

Isabel Natário is a Professor at the Mathematics Department of Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa and a member of the research center CEAUL. She holds a doctorate in Probability and Statistics (Universidade de Lisboa, 2005), her main research interests being in spatial statistics, hierarchical and dynamic modeling, Bayesian statistics and statistical epidemiology.

Carlos A. Braumann, born 1951, is a Professor at the University of Évora (UE) and its current Rector, with publications mostly on Stochastic Differential Equations and its applications. He completed his Ph.D. at the State University of New York at Stony Brook in 1979 and his postdoctoral studies in Stochastic Processes at the UE in 1988. He has been an elected member of the International Statistical Institute since 1992, is a former President of the European Society for Mathematical and Theoretical Biology (2009-12) and of the Portuguese Statistical Society (2006-09 and 2009-12), and a former member of the European Regional Committee of the Bernoulli Society (2008-12).

Manuel L. Esquível is an Associate Professor of Probability and Stochastic Processes at FCT/UNL. He has previously served as the Faculty Deputy Director for Continuing Education 1999-2004, as Chief Editor of the Bulletin of the Portuguese Institute of Actuaries 2005-2008, Coordinator of the Centre of Mathematics and Applications of UNL 2009, and as a member of the certifying committee of non-life actuaries. He has produced publications on harmonic analysis of stochastic processes, probability and statistics and mathematical models for risk assessment.

João Tiago Mexia is an Emeritus Full Professor at Faculdade de Ciências e Tecnologia – Universidade Nova de Lisboa (Faculty of Sciences and Technology - New University of Lisbon). His first degree was in Forestry, from Universidade Técnica de Lisboa (Lisbon University of Technology). He received his Ph.D. from the Universidade Nova de Lisboa (New University of Lisbon) in 1988. He directed the University’s mathematics research center (CMA - Center for Mathematics and its Applications) from 1999 to 2009. His research chiefly focused on Linear Statistical Inference.