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Titlebook: Statistical Challenges in Modern Astronomy V; Eric D. Feigelson,G. Jogesh Babu Conference proceedings 2012 Springer Science+Business Media

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Commentary: Bayesian Model Selection and Parameter Estimationcept but remains a difficult challenge for large parameter spaces. My comments here on the paper by Roberto Trotta are based on lessons learned from developing a controlled statistical fusion approach to some of these issues.
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Statistical Challenges in Modern Astronomy V978-1-4614-3520-4Series ISSN 0930-0325 Series E-ISSN 2197-7186
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Commentary: Cosmological Bayesian Model Selectioniewed the issue in the context of model selection within the context of .CDM cosmological models. I briefly discuss the issue from both frequentist and Bayesian perspectives, expressing cautions about use of priors, Bayes factors, and p-values. There are no silver bullets, but Bayes factors seem most promising.
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Eric D. Feigelson,G. Jogesh BabuCovers wide range of advances in statistical astronomy.Many new techniques in the areas of large data set star and planet mapping will be discussed, including time series and applications in SAS and R
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Lecture Notes in Statisticshttp://image.papertrans.cn/s/image/876385.jpg
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