James S. Clark and Alan E. Gelfand (eds.)
（2006年5月4日刊行， Oxford University Press， ISBN:0198569661 [hbk] / ISBN:019856967X [pbk]）
【目次】
Preface v
Contributors ixPart I. Introduction to hierarchical modeling 1
1. Elements of hierarchical Bayesian influence. (Bradley P. Carlin, James S. Clark and Alan E. Gelfand) 3
2. Bayesian hierarchical models in geographical genetics. (Kent Holsinger) 25Part II. Hierarchical models in experimental settings 39
3. Synthesizing ecological experiments and observational data with hierarchical Bayes. (James S. Clark and Shannon LaDeau) 41
4. Effects of global change on inflorescence production: a Bayesian hierarchical analysis. (Janneke Hille Ris Lambers, Brian Aukean, Jeff Diez, Margaret Evans and Andrew Latimer) 59Part III. Spatial modeling 75
5. Building statistical models to analyse species distributions. (Alan E. Gelfand, Andrew Latimer, Shanshan Wu and John A. Silander, Jr.) 77
6. Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysis. (Kiona Ogle, Maria Uriarte, Jill Thompson, Jill Johnstone, Andy Jones, Yiching Lin, Eliot J. B. McIntire and Jess K. Zimmmerman) 98Part IV. Spatio-temporal modeling 119
7. Spatial temporal statistical modeling and prediction of environmental processes. (Li Chen, Montserrat Fuentes and Jerry M. Davis) 121
8. Hierarchical Bayesian spatio-temporal models for population spread. (Christopher K. Wikle and Melvin B. Hooten) 145
9. Spatial models for the distribution of extremes. (Eric Gilleland, Douglas Nychka and Uli Schneider) 170
References 185
Index 197
