Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion
نویسندگان
چکیده
منابع مشابه
Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion
Many diagnostic tools and goodness-of-fit measures, such as the Akaike information criterion (AIC) and the Bayesian deviance information criterion (DIC), are available to evaluate the overall adequacy of linear regression models. In addition, visually assessing adequacy in models has become an essential part of any regression analysis. In this paper, we focus on a spatial consideration of the l...
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DeMarc A. Hickson1,2,3, Lance A. Waller1, Lillian S. Lin3 1Emory University, Rollins School of Public Health, Department of Biostatistics 1518 Clifton Road, Atlanta, Georgia, 30322, U.S.A. E −mail : [email protected]; Telephone: 404.727.1057; Fax: 404.727.1370 2Northrop Grumman Mission Systems, 12011 Sunset Hills Road, Reston, Virginia 20190, U.S.A. 3Centers for Disease Control and Preventi...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2010
ISSN: 0167-9473
DOI: 10.1016/j.csda.2010.01.025