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Highly Structured Stochastic Systems
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Highly Structured Stochastic Systems

Highly Structured Stochastic Systems

Peter Green, Nils Lid Hjort, Sylvia Richardson

510 pages, parution le 21/05/2003

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.,

Autres livres de Peter Green

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

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