----- 计算统计学:环境科学应用之多层Bayes与MCMC方法
Preface PART I. INTRODUCTION TO HIERARCHICAL MODELING 1. Elements of hierarchical Bayesian influence 2. Bayesian hierarchical models in geographical genetics PART II. HIERARCHICAL MODELS IN EXPERIMENTAL SETTINGS 3. Synthesizing ecological experiments and observational data with hierarchical Bayes 4. Effects of global change on inflorescence production: a Bayesian hierarchical analysis PART III. SPATIAL MODELING 5. Building statistical models to analyse species distributions 6. Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysis PART IV. SPATIO-TEMPORAL MODELING 7. Spatial temporal statistical modeling and prediction of environmental processes 8. Hierarchical Bayesian spatio-temporal models for population spread 9. Spatial models for the distribution of extremes References Index
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