Markov Chain Monte Carlo in Practice (eBook, PDF)

Redaktion: Gilks, W. R.; Spiegelhalter, David; Richardson, S.

• Format: PDF

Produktbeschreibung

In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France,

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 512
• Erscheinungstermin: 1. Dezember 1995
• Englisch
• ISBN-13: 9781482214970
• Artikelnr.: 57902091

Autorenporträt

W.R. Gilks Institute of Public Health, Cambridge, UK; S. Richardson Imperial College, London, UK; David Spiegelhalter MRC Biostatistics Unit, Cambridge, UK.

Inhaltsangabe

INTRODUCING MARKOV CHAIN MONTE CARLO; HEPATITIS B: A CASE STUDY IN MCMC METHODS; MARKOV CHAIN CONCEPTS RELATED TO SAMPLING ALGORITHMS; INTRODUCTION TO GENERAL STATE-SPACE MARKOV CHAIN THEORY; FULL CONDITIONAL DISTRIBUTIONS; STRATEGIES FOR IMPROVING MCMC; IMPLEMENTING MCMC; INFERENCE AND MONITORING CONVERGENCE; MODEL DETERMINATION USING SAMPLING-BASED METHODS; HYPOTHESIS TESTING AND MODEL SELECTION; MODEL CHECKING AND MODEL IMPROVEMENT; STOCHASTIC SEARCH VARIABLE SELECTION; BAYESIAN MODEL COMPARISON VIA JUMP DIFFUSIONS; ESTIMATION AND OPTIMIZATION OF FUNCTIONS; STOCHASTIC EM: METHOD AND APPLICATION; GENERALIZED LINEAR MIXED MODELS; HIERARCHICAL LONGITUDINAL MODELLING; MEDICAL MONITORING; MCMC FOR NONLINEAR HIERARCHICAL MODELS; BAYESIAN MAPPING OF DISEASE; MCMC IN IMAGE ANALYSIS; MEASUREMENT ERROR; GIBBS SAMPLING METHODS IN GENETICS; MIXTURES OF DISTRIBUTIONS: INFERENCE AND ESTIMATION; AN ARCHAEOLOGICAL EXAMPLE: RADIOCARBON DATING