LEADER 03515nam 22007215 450 001 9910299766803321 005 20251116135013.0 010 $a9783319189680 010 $a3319189689 024 7 $a10.1007/978-3-319-18968-0 035 $a(CKB)3710000000434251 035 $a(EBL)2096787 035 $a(SSID)ssj0001524808 035 $a(PQKBManifestationID)11869176 035 $a(PQKBTitleCode)TC0001524808 035 $a(PQKBWorkID)11484398 035 $a(PQKB)11344132 035 $a(DE-He213)978-3-319-18968-0 035 $a(MiAaPQ)EBC2096787 035 $a(PPN)186400268 035 $a(EXLCZ)993710000000434251 100 $a20150617d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBayesian Nonparametric Data Analysis /$fby Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (203 p.) 225 1 $aSpringer Series in Statistics,$x2197-568X 300 $aDescription based upon print version of record. 311 08$a9783319189673 311 08$a3319189670 320 $aIncludes bibliographical references and index at the end of each chapters. 327 $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. 330 $aThis book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book?s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in on-line software pages. 410 0$aSpringer Series in Statistics,$x2197-568X 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aStatistics and Computing 606 $aBiostatistics 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aStatistics and Computing. 615 24$aBiostatistics. 676 $a519.542 700 $aMu?ller$b Peter$4aut$4http://id.loc.gov/vocabulary/relators/aut$0555240 702 $aQuintana$b Fernando Andre?s$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aJara$b Alejandro$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHanson$b Tim$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299766803321 996 $aBayesian Nonparametric Data Analysis$92540385 997 $aUNINA