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Titlebook: Case Studies in Bayesian Statistics, Volume II; Constantine Gatsonis,James S. Hodges,Nozer D. Sing Conference proceedings 1995 Springer-Ve

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书目名称Case Studies in Bayesian Statistics, Volume II
编辑Constantine Gatsonis,James S. Hodges,Nozer D. Sing
视频videohttp://file.papertrans.cn/223/222247/222247.mp4
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Case Studies in Bayesian Statistics, Volume II;  Constantine Gatsonis,James S. Hodges,Nozer D. Sing Conference proceedings 1995 Springer-Ve
描述Like its predecessor, this second volume presents detailed applications of Bayesian statistical analysis, each of which emphasizes the scientific context of the problems it attempts to solve. The emphasis of this volume is on biomedical applications. These papers were presented at a workshop at Carnegie-Mellon University in 1993.
出版日期Conference proceedings 1995
关键词Bayesian inference; DNA; Statistica; Volume; bayesian statistics; boundary element method; construction; fo
版次1
doihttps://doi.org/10.1007/978-1-4612-2546-1
isbn_softcover978-0-387-94566-8
isbn_ebook978-1-4612-2546-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 1995
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https://doi.org/10.1007/978-1-4302-0125-0des information relevant to the road closure decision that is not identical to that of the experts. When the expert decision is augmented by the statistical information, better decisions are reached compared with decisions based on either the expert opinion alone or the statistical model.
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Case Study: An OOP Media Playerthe rows of the two-way table), are incorporated into the prior distributions. With computations facilitated by using the Gibbs sampler, we show that the smoothness conditions provide substantial gains in precision when the .. and µ are estimated.
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Road Closure: Combining Data and Expert Opiniondes information relevant to the road closure decision that is not identical to that of the experts. When the expert decision is augmented by the statistical information, better decisions are reached compared with decisions based on either the expert opinion alone or the statistical model.
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Optimal Design for Heart Defibrillatorst features specific to this problem are the very small sample sizes; the asymmetry of the loss function; and the fact that the prior distribution arises as the distribution for the next draw of patient-specific parameters in a hierarchical model.
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The Open Source Development Process,otocol. The physical and biological information available to an investigator before an experiment is summarized in a prior probability density which we represent as a product of Dirichlet and log-normal probability densities. We derive the marginal probability density for the flow of blood to an org
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https://doi.org/10.1007/978-1-4302-0047-5hases of the analysis (e.g. posterior computation and summarization) are well handled using currently available techniques, and which phases (e.g. prior elicitation, interim monitoring, and endpoint determination) require further methodological development. We discuss potential solutions to some of
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