Highly Structured Stochastic Systems

Peter Green, Nils Lid Hjort, Sylvia Richardson

510 pages, parution le 21/05/2003

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Résumé

Highly Structured Stochastic Systems (HSSS) is a modern strategy for building statistical models for challenging real-world problems, for computing with them, and for interpreting the resulting inference. The aim of this book is to make recent developments in HSSS accessible to a general statistical audience including graduate students and researchers.

Readership: Graduate students and researchers in statistics who are interested in a modern strategies for building statistical models for challenging real-world problems, for computing with them, and for interpreting the resulting inference.

Contents

Peter Green, Nils Hjort, Sylvia Richardson: Introduction
Steffen Lauritzen: Some modern applications of graphical models Nanny Wermuth: Analysing social science data with graphical Markov models Julia Mortera: Analysis of DNA mixtures using Bayesian networks
Philip Dawid: Causal inference using influence diagrams: the problem of partial compliance
Elja Arjas: Commentary: causality and statistics
James Robins: Semantics of causal DAG models and the identification of direct and indirect effects
Thomas S. Richardson and Peter Sprites: Causal inference via ancestral graph models
Milan Studeny: Other approaches to description of conditional independence structures
Jan Koster: On ancestral graph Markov models
Rainer Dahlhaus and Michael Eichler: Causality and graphical models in times series analysis
Vanessa Didelez: Graphical models for stochastic processes
Hans Kunsch: Discussion of "Causality and graphical models in times series analysis"
Gareth Roberts: Linking theory and practice of MCMC
Christian Robert: Advances in MCMC: a discussion
Arnoldo Frigessi: On some current research in MCMC
Peter Green: Trans-dimensional Markov chain Monte Carlo
Simon Godsill: Proposal densities and product space methods
Juha Heikkinen: Trans-dimensional Bayesian nonparametrics with spatial point processes
Carlo Berzuini and Walter Gilks: Particle filtering methods for dynamic and static Bayesian problems
Geir Storvik: Some further topics on Monte Carlo methods for dynamic Bayesian problems
Antti Penttinen, Fabio Divino and Anne Riiali: Spatial hierarchical Bayesian modeld in ecological applications
Julian Besag: Likelihood analysis of binary data in space and time
Alexandro Mello Schmidt: Some further aspects of spatio-temporal modelling
Merrilee Hurn; Oddvar Husby and Havard Rue: Advances in Bayesian image analysis
M van Lieshout: Probabilistic image modelling
Alain Trubuil: Prospects in Bayesian image analysis
Niels Becker and Sergey Utev: Preventing epidemics in heterogeneous environments
Philip O'Neill: MCMC methods for stochastic epidemic models
Kari Auranen: Towards Bayesian inference in epidemic models
Simon Heath: Genetic linkage analysis using Markov chain Monte Carlo techniques
Nuala Sheehan and Daniel Sorensen: Graphical models for mapping continuous traits
David Stephens: Statistical approaches to Genetic Mapping
R C Griffiths and Simon Tavare: The genealogy of neutral mutation
Gunter Weiss: Linked versus unlinked DNA data - a comparison based on ancestral inference
Carsten Wiuf: The age of a rare mutation
Anthony O'Hagan: HSSS model criticism
M J Bayarri: What 'base' distribution for model criticism?
Alan Gelfand: Some comments on model criticism
Nils Hjort: Topics in nonparametric Bayesian statistics
Aad van der Vaart: Asymptotics of Nonparametirc Posteriors
Sonia Petrone: A predictive point of view on Bayesian nonparametrics

L'auteur - Peter Green

Peter J Green, School of Mathematics, University of Bristol, University Walk, Bristol, BS8 1TW, UK.,

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L'auteur - Nils Lid Hjort

Nils Lid Hjort, Department of Mathematics, University of Oslo, Norway

L'auteur - Sylvia Richardson

Sylvia Richardson, Department of Epidemiology and Public Health, Imperial College School of Medicine, Norfolk Place, London, W2 1PG, UK

Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Peter Green, Nils Lid Hjort, Sylvia Richardson
Parution	21/05/2003
Nb. de pages	510
Format	16 x 24
Couverture	Relié
Poids	860g
Intérieur	Noir et Blanc
EAN13	9780198510550
ISBN13	978-0-19-851055-0