By Nils Lid Hjort,Chris Holmes,Peter Müller,Stephen G. Walker

Bayesian nonparametrics works - theoretically, computationally. the speculation presents hugely versatile versions whose complexity grows adequately with the volume of information. Computational matters, even though difficult, aren't any longer intractable. All that's wanted is an access aspect: this clever booklet is the appropriate consultant to what can appear a forbidding panorama. instructional chapters via Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson enhance from idea, to easy types and hierarchical modeling, to functions and implementation, quite in desktop technological know-how and biostatistics. those are complemented via better half chapters by way of the editors and Griffin and Quintana, supplying extra versions, analyzing computational concerns, deciding upon destiny development components, and giving hyperlinks to similar issues. This coherent textual content supplies prepared entry either to underlying ideas and to state of the art perform. particular examples are drawn from details retrieval, NLP, computer imaginative and prescient, computational biology, biostatistics, and bioinformatics.

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