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000727219 020__ $$a9783319162386$$qelectronic book
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000727219 0247_ $$a10.1007/978-3-319-16238-6$$2doi
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000727219 24500 $$aBayesian statistics from methods to models and applications$$h[electronic resource] :$$bresearch from BAYSM 2014 /$$cSylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany, editors.
000727219 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2015]
000727219 300__ $$a1 online resource.
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000727219 4901_ $$aSpringer proceedings in mathematics & statistics ;$$vvolume 126
000727219 504__ $$aIncludes bibliographical references and index.
000727219 5050_ $$aOn Bayesian based adaptive confidence sets for linear functionals -- A new finite approximation for the NGG mixture model: an application to density estimation -- Distributed Estimation of Mixture Models -- Bayesian Survival Model based on Moment Characterization -- Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check -- A subordinated stochastic process model -- Jeffreys priors for mixture estimation -- Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior -- A new strategy for testing cosmology with simulations -- Mixture Model for Filtering Firms' Profit Rates -- Bayesian Estimation of the Aortic Stiffness based on Non-Invasive Computed Tomography Images -- Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate -- Bayesian Filtering for Thermal Conductivity Estimation given Temperature Observations -- Application of Interweaving in DLMs to an Exchange and Specialization Experiment.
000727219 506__ $$aAccess limited to authorized users.
000727219 520__ $$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 (Université Paris-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.
000727219 650_0 $$aBayesian statistical decision theory$$vCongresses.
000727219 650_0 $$aNeural networks (Computer science)$$vCongresses.
000727219 7001_ $$aFrühwirth-Schnatter, Sylvia,$$eeditor.
000727219 7001_ $$aBitto, Angela,$$eeditor.
000727219 7001_ $$aKastner, Gregor,$$eeditor.
000727219 7001_ $$aPosekany, Alexandra,$$eeditor.
000727219 7112_ $$aBayesian Young Statisticians Meeting$$n(2nd :$$d2014 :$$cVienna, Austria)
000727219 77608 $$iPrint version:$$z9783319162379
000727219 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vvolume 126.
000727219 852__ $$bebk
000727219 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-16238-6$$zOnline Access$$91397441.1
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