Highly Structured Stochastic Systems
Peter Green, Nils Lid Hjort, Sylvia Richardson
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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