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010 _a978-3-319-16238-6
_dcompra
090 _a84042
100 _a20190128d2015 k||y0pory50 ba
101 0 _aeng
102 _aUS
200 1 _aBayesian statistics from methods to models and applications
_bDocumento electrn̤ico
_dResearch from BAYSM 2014
_f
210 _aCham
_cSpringer international publishing
_d2015
215 _aXIII, 167 p. 40 il.
225 2 _aSpringer proceedings in mathematics & statistics
300 _aColocaȯ̂: Online
303 _aThe Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development and exchange of ideas. WU Vienna University of Business and Economics hosted BAYSM 2014 from September 18th to 19th. The guidance of renowned plenary lecturers and senior discussants is a critical part of the meeting and this volume, which follows publication of contributions from BAYSM 2013. The meeting's scientific program reflected the variety of fields in which Bayesian methods are currently employed or could be introduced in the future. Three brilliant keynote lectures by Chris Holmes (University of Oxford), Christian Robert (Universit P̌aris-Dauphine), and Mike West (Duke University), were complemented by 24 plenary talks covering the major topics Dynamic Models, Applications, Bayesian Nonparametrics, Biostatistics, Bayesian Methods in Economics, and Models and Methods, as well as a lively poster session with 30 contributions. Selected contributions have been drawn from the conference for this book. All contributions in this volume are peer-reviewed and share original research in Bayesian computation, application, and theory.
410 1 _x2194-1009
_v126
606 _91379
_aEstats̕tica matemt̀ica
606 _93627
_aEstats̕tica
680 _aQA276
702 _931970
_a
_bSylvia
_4340
702 _964580
_aBitto
_bAngela
_4340
702 _964582
_aKastner
_bGregor
_4340
702 _964581
_aPosekany
_bAlexandra
_4340
801 0 _gRPC
_aPT
856 _uhttps://doi.org/10.1007/978-3-319-16238-6
942 _2lcc
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_n0