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Bayesian Inference with Geodetic Applications (Paperback, 1990 ed.)
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Bayesian Inference with Geodetic Applications (Paperback, 1990 ed.)
Series: Lecture Notes in Earth Sciences, 31
Expected to ship within 10 - 15 working days
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This introduction to Bayesian inference places special emphasis on
applications. All basic concepts are presented: Bayes' theorem,
prior density functions, point estimation, confidence region,
hypothesis testing and predictive analysis. In addition, Monte
Carlo methods are discussed since the applications mostly rely on
the numerical integration of the posterior distribution.
Furthermore, Bayesian inference in the linear model, nonlinear
model, mixed model and in the model with unknown variance and
covariance components is considered. Solutions are supplied for the
classification, for the posterior analysis based on distributions
of robust maximum likelihood type estimates, and for the
reconstruction of digital images.
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