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000727780 020__ $$a9783319189680$$qelectronic book
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000727780 08204 $$a519.542$$223
000727780 1001_ $$aMüller, Peter,$$eauthor.
000727780 24510 $$aBayesian nonparametric data analysis$$h[electronic resource] /$$cPeter Müller, Fernando Andrés Quintana, Alejandro Jara, Tim Hanson.
000727780 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2015]
000727780 300__ $$a1 online resource.
000727780 336__ $$atext$$btxt$$2rdacontent
000727780 337__ $$acomputer$$bc$$2rdamedia
000727780 338__ $$aonline resource$$bcr$$2rdacarrier
000727780 4901_ $$aSpringer series in statistics
000727780 5050_ $$aPreface -- Acronyms -- 1.Introduction -- 2.Density Estimation -- DP Models -- 3.Density Estimation -- Models Beyond the DP -- 4.Regression -- 5.Categorical Data -- 6.Survival Analysis -- 7.Hierarchical Models -- 8.Clustering and Feature Allocation -- 9.Other Inference Problems and Conclusions -- Appendix: DP package.
000727780 506__ $$aAccess limited to authorized users.
000727780 520__ $$aThis book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in on-line software pages.
000727780 650_0 $$aBayesian statistical decision theory.
000727780 7001_ $$aQuintana, Fernando Andrés,$$eauthor.
000727780 7001_ $$aJara, Alejandro,$$eauthor.
000727780 7001_ $$aHanson, Tim,$$eauthor.
000727780 830_0 $$aSpringer series in statistics.
000727780 852__ $$bebk
000727780 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-18968-0$$zOnline Access$$91397441.1
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000727780 980__ $$aEBOOK
000727780 980__ $$aBIB
000727780 982__ $$aEbook
000727780 983__ $$aOnline
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