Current Trends in Bayesian Methodology with Applications [Hardcover]

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics.

Each chapter is self-contained and focuses on a Bayesian methodology. It gives an overview of the area, presents theoretical insights, and emphasizes applications through motivating examples.

This book reflects the diversity of Bayesian analysis, from novel Bayesian methodology, such as nonignorable response and factor analysis, to state-of-the-art applications in economics, astrophysics, biomedicine, oceanography, and other areas. It guides readers in using Bayesian techniques for a range of statistical analyses.

Bayesian Inference on the Brain. Forecasting Indian Macroeconomic Variables Using Medium-Scale VAR Models. Comparing Proportions: A Modern Solution to a Classical Problem. Hamiltonian Monte Carlo for Hierarchical Models. On Bayesian Spatio-Temporal Modeling of Oceanographic Climate Characteristics. Sequential Bayesian Inference for Dynamic State Space Model Parameters. Bayesian Active Contours with Affine-Invariant Elastic Shape Prior. Bayesian Semiparametric Longitudinal Data Modeling Using NI Densities. Bayesian Factor Analysis Based on Concentration. Regional Fertility Data Analysis: A Small Area Bayesian Approach. In Search of Optimal Objective Priors for Model Selection and Estimation. BayesilcÖ