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

Bayesian nonparametrics works - theoretically, computationally. the idea offers hugely versatile versions whose complexity grows correctly with the quantity of information. Computational concerns, notwithstanding hard, are not any longer intractable. All that's wanted is an access aspect: this clever ebook is the right advisor to what can look a forbidding panorama. instructional chapters by way of Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson strengthen from conception, to easy versions and hierarchical modeling, to functions and implementation, fairly in computing device technological know-how and biostatistics. those are complemented through better half chapters through the editors and Griffin and Quintana, delivering extra types, analyzing computational matters, deciding on destiny development parts, and giving hyperlinks to comparable issues. This coherent textual content supplies prepared entry either to underlying rules and to cutting-edge perform. particular examples are drawn from details retrieval, NLP, computer imaginative and prescient, computational biology, biostatistics, and bioinformatics.

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