Titlebook: Likelihood and Bayesian Inference; With Applications in Leonhard Held,Daniel Sabanés Bové Textbook 2020Latest edition Springer-Verlag GmbH

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Frequentist Properties of the Likelihood,the corresponding confidence intervals are introduced. Variance-stabilising transformations are also discussed. A case study comparing coverage and width of several confidence intervals for a proportion finishes this chapter, completed by a number of exercises at the end.

Explosive

Bayesian Inference,ian point and interval estimates. Bayesian inference in multiparameter models is discussed and some results from Bayesian asymptotics are described. Finally, empirical Bayes methods are described, completed by a number of exercises at the end.

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Model Selection,its connection to cross-validation. Bayesian model selection based on the marginal likelihood is described, including Bayesian model averaging. Finally, DIC is introduced, completed by a number of exercises at the end.

FLING

Prediction, predictions, obtained with either a likelihood or Bayesian approach. Connections to the simpler plug-in prediction are also described. Finally, methods to assess the quality of probabilistic predictions, such as the Brier and the logarithmic score, are described. Exercises are given at the end.

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Overview,ructures, and the intention of this book. Energetic materials are a special group of energy materials applied for both civilian and military purposes, due to their high efficiency of gas and heat release. The intrinsic structure of an energetic material refers to crystal packing and the substructure