Finite population estimators in stochastic search variable selection
Type
Journal articleSubject
Bayesian model averagingHorvitz-Thompson estimator
Inclusion probability
Markov chain Monte Carlo
Median probability model
Model uncertainty
Variable selection
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https://hdl.handle.net/10161/11723Published Version (Please cite this version)
10.1093/biomet/ass040Publication Info
Clyde, MA; & Ghosh, J (2012). Finite population estimators in stochastic search variable selection. BIOMETRIKA, 99(4). pp. 981-988. 10.1093/biomet/ass040. Retrieved from https://hdl.handle.net/10161/11723.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Merlise Clyde
Professor of Statistical Science
Model uncertainty and choice in prediction and variable selection problems for linear,
generalized linear models and multivariate models. Bayesian Model Averaging. Prior
distributions for model selection and model averaging. Wavelets and adaptive kernel
non-parametric function estimation. Spatial statistics. Experimental design for
nonlinear models. Applications in proteomics, bioinformatics, astro-statistics,
air pollution and health effects, and environmental sciences.

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