LEADER 00857nam0-22003131i-450 001 990003222560403321 005 20220923101209.0 035 $a000322256 035 $aFED01000322256 035 $a(Aleph)000322256FED01 035 $a000322256 100 $a20030910d1958----km-y0itay50------ba 101 0 $aeng 102 $aNL 200 1 $aTime in economics$fby G.L.S. Shackle 210 $aAmsterdam$cNorth Holland$d1958 215 $a111 p.$d20 cm 225 1 $aProfessor Dr. F. De Vries lectures 676 $a330.1$v23$zita 700 1$aShackle,$bGeorge Lennox Sharman$f<1903- >$0105441 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990003222560403321 952 $aB/1.0 SHA/58$b012388$fSES 952 $aXV I 86$b53863$fFGBC 959 $aFGBC 959 $aSES 996 $aTime in economics$934593 997 $aUNINA LEADER 04049nam 22006135 450 001 9910300148603321 005 20250329084108.0 010 $a9781461486879 010 $a1461486874 024 7 $a10.1007/978-1-4614-8687-9 035 $a(CKB)3710000000078551 035 $a(SSID)ssj0001049371 035 $a(PQKBManifestationID)11592858 035 $a(PQKBTitleCode)TC0001049371 035 $a(PQKBWorkID)11019433 035 $a(PQKB)11381647 035 $a(DE-He213)978-1-4614-8687-9 035 $a(MiAaPQ)EBC3107090 035 $z(PPN)199767270 035 $a(PPN)176099395 035 $a(EXLCZ)993710000000078551 100 $a20131028d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aBayesian Essentials with R /$fby Jean-Michel Marin, Christian P. Robert 205 $a2nd ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (XIV, 296 p. 75 illus., 38 illus. in color.) 225 1 $aSpringer Texts in Statistics,$x2197-4136 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781461486862 311 08$a1461486866 320 $aIncludes bibliographical references (pages 287-290) and index. 327 $aUser's Manual -- Normal Models -- Regression and Variable Selection -- Generalized Linear Models -- Capture-Recapture Experiments -- Mixture Models -- Time Series -- Image Analysis -- References -- Index. 330 $aThis Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. The stakes are high and the reader determines the outcome. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. This works in conjunction with the bayess package. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels, as exemplified by courses given at Université Paris Dauphine (France), University of Canterbury (New Zealand), and University of British Columbia (Canada). It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics. A strength of the text is the noteworthy emphasis on the role of models in statistical analysis. This is the new, fully-revised edition to the book Bayesian Core: A Practical Approach to Computational Bayesian Statistics. . 410 0$aSpringer Texts in Statistics,$x2197-4136 606 $aMathematical statistics$xData processing 606 $aStatistics 606 $aStatistics and Computing 606 $aStatistical Theory and Methods 615 0$aMathematical statistics$xData processing. 615 0$aStatistics. 615 14$aStatistics and Computing. 615 24$aStatistical Theory and Methods. 676 $a519.5 700 $aMarin$b Jean-Michel$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721732 702 $aRobert$b Christian P$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300148603321 996 $aBayesian Essentials with R$92529845 997 $aUNINA