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Introduction to Bayesian statistics

The Introduction to Bayesian Statistics (2nd Edition) presents Bayes? theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend. The methods are applied to linear models, in models for a robust estimation, for prediction and filtering and in models for estimating variance components and covariance components. Regularization of inverse problems and pattern recognition are also covered while Bayesian networks serve for reaching decisions.

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  • "The Introduction to Bayesian Statistics (2nd Edition) presents Bayes? theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend. The methods are applied to linear models, in models for a robust estimation, for prediction and filtering and in models for estimating variance components and covariance components. Regularization of inverse problems and pattern recognition are also covered while Bayesian networks serve for reaching decisions."@en

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  • "Electronic books"
  • "Electronic books"@en

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  • "Introduction to Bayesian statistics"@en
  • "Introduction to Bayesian statistics"
  • "Introduction to Bayesian statistic"
  • "Introduction to Bayesian Statistics"
  • "Introduction to Bayesian Statistics"@en