Frontiers of Statistical Decision Making and Bayesian Analysis In Honor of James O. Berger /

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. Whi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Chen, Ming-Hui (Editor ), Müller, Peter (Editor ), Sun, Dongchu (Editor ), Ye, Keying (Editor ), Dey, Dipak K. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Temas:
Probabilities.
Statistics .
Mathematics-Data processing.
Probability Theory.
Statistical Theory and Methods.
Computational Mathematics and Numerical Analysis.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Objective Bayesian Inference with Applications
  • Bayesian Decision Based Estimation and Predictive Inference
  • Bayesian Model Selection and Hypothesis Tests
  • Bayesian Inference for Complex Computer Models
  • Bayesian Nonparametrics and Semi-parametrics
  • Bayesian Influence and Frequentist Interface
  • Bayesian Clinical Trials
  • Bayesian Methods for Genomics, Molecular and Systems Biology
  • Bayesian Data Mining and Machine Learning
  • Bayesian Inference in Political Science, Finance, and Marketing Research
  • Bayesian Categorical Data Analysis
  • Bayesian Geophysical, Spatial and Temporal Statistics
  • Posterior Simulation and Monte Carlo Methods.

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