Tools for Statistical Inference
Methods for the Exploration of Posterior Distributions and Likelihood Functions
(Sprache: Englisch)
This book provides a unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. The third edition expands the discussion of many of the techniques discussed, includes additional examples, and adds exercise sets at the end of each chapter.
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This book provides a unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. The third edition expands the discussion of many of the techniques discussed, includes additional examples, and adds exercise sets at the end of each chapter.
Inhaltsverzeichnis zu „Tools for Statistical Inference “
- Introduction- Normal Approximations to Likelihoods and to Posteriors
- Nonnormal Approximations to Likelihoods and Posteriors
- The EM Algorithm
- The Data Augmentation Algorithm
- Markov Chain Monte Carlo: The Gibbs Sampler and the Metropolis Algorithm
- References
- Index
Bibliographische Angaben
- Autor: Martin A. Tanner
- 1998, 3rd ed., 208 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, New York
- ISBN-10: 0387946888
- ISBN-13: 9780387946887
- Erscheinungsdatum: 18.09.1998
Sprache:
Englisch
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