Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression
نویسندگان
چکیده
منابع مشابه
Bayesian variable selection for multivariate spatially varying coefficient regression.
Physical activity has many well-documented health benefits for cardiovascular fitness and weight control. For pregnant women, the American College of Obstetricians and Gynecologists currently recommends 30 minutes of moderate exercise on most, if not all, days; however, very few pregnant women achieve this level of activity. Traditionally, studies have focused on examining individual or interpe...
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Physical activity has well-documented health benefits for cardiovascular fitness and weight control. For pregnant women, the American College of Obstetricians and Gynecologists currently recommends 30 minutes of moderate exercise on most, if not all, days; however, very few pregnant women achieve this level of activity. Epidemiologists, policy makers, and city planners are interested in whether...
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This paper considers modelling spatially varying regression effects for multivariate mortality count outcomes. Alternative approaches to spatial regression heterogeneity are considered: the multivariate normal conditional autoregressive (MCAR) model is contrasted with a flexible set of priors based on the multiple membership approach. These include spatial factor priors and a nonparametric appr...
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متن کاملBayesian Spatially Varying Coefficient Models in the Presence of Collinearity
The belief that relationships between explanatory variables and a response variable in a regression model may vary within a study area has lead to the development of Bayesian regression models that allow for spatially varying coefficients (Gelfand et al., 2003). In the typical application of these spatially varying coefficient process (SVCP) models, marginal inference on the spatial pattern of ...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2009
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2009.01333.x