Statistics: Textbooks and Monographs Bayesian Model Selection and Statistical Modeling Hardcover from other stores

  • Along with many practical applications Bayesian Model Selection and Statistica... Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian... more
  • Along with many practical applications Bayesian Model Selection and Statistica... Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian... more
  • Along with many practical applications Bayesian Model Selection and Statistica... Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian... more
  • Along with many practical applications this book presents an array of Bayesian... Along with many practical applications this book presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian model selection criteria through examples... more
  • This book presents the basic theory of linear models from a Bayesian viewpoint... This book presents the basic theory of linear models from a Bayesian viewpoint. It is unique in that time series models such as autoregressive moving average processes are treated as linear models in the same way the general linear model is examined. more
  • With Bayesian statistics rapidly becoming accepted as a way to solve applied s... With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems the need for a comprehensive up-to-date source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear... more
  • Exploring the application and formulation of the EM algorithm The EM Algorithm... Exploring the application and formulation of the EM algorithm The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available and proposes specific estimation... more
  • Textbook for a methods course or reference for an experimenter who is mainly i... Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures. Provides the most useful statistical techniques not only for the normal... more
  • Exploring the application and formulation of the EM algorithm The EM Algorithm... Exploring the application and formulation of the EM algorithm The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available and proposes specific estimation... more
  • With Bayesian statistics rapidly becoming accepted as a way to solve applied s... With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems the need for a comprehensive up-to-date source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear... more
  • Filling a gap in current Bayesian theory this book presents a unified Bayesian... Filling a gap in current Bayesian theory this book presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult... more
  • Filling a gap in current Bayesian theory this book presents a unified Bayesian... Filling a gap in current Bayesian theory this book presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult... more
  • This book presents the basic theory of linear models from a Bayesian viewpoint... This book presents the basic theory of linear models from a Bayesian viewpoint. It is unique in that time series models such as autoregressive moving average processes are treated as linear models in the same way the general linear model is examined. more
  • This accessible reference includes selected contributions from Bayesian Thinki... This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation Volume 25 in the Handbook of Statistics Series with a focus on key methodologies and applications for Bayesian models and computation. It... more
  • This accessible reference includes selected contributions from Bayesian Thinki... This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation Volume 25 in the Handbook of Statistics Series with a focus on key methodologies and applications for Bayesian models and computation. It... more
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