articleMeasurement Science and TechnologyMar 19, 2002Closed access

Bayesian Statistical Modelling

John Wiley & Sons (United Kingdom)

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Abstract

Peter Congdon's Bayesian Statistical Modelling is not a teaching textbook or introduction to Bayesian statistical modelling. Although the basics of Bayesian theory and Markov Chain Monte Carlo (MCMC) methods are briefly reviewed in the book, I think that one should already be familiar with those topics before using the book. Given that, the book can be very helpful to an applied statistician, as it is an excellent reference source for Bayesian models and literature.

Citation impact

683
total citations
FWCI
44.06
Percentile
100%
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0
Citations per year

Authors

1

Topics & keywords

Keywords
  • Statistician
  • Markov chain Monte Carlo
  • Bayesian probability
  • Computer science
  • Bayesian statistics
  • Variable-order Bayesian network
  • Bayesian inference
  • Artificial intelligence
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