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Package for Bayesian Variable Selection and Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <<a href="https://doi.org/10.1198%2F016214507000001337" target="_top">doi:10.1198/016214507000001337</a>> for linear models or mixtures of g-priors from Li and Clyde (2019) <<a href="https://doi.org/10.1080%2F01621459.2018.1469992" target="_top">doi:10.1080/01621459.2018.1469992</a>> in generalized linear models. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using sampling w/out replacement or an efficient MCMC algorithm which samples models using a tree structure of the model space as an efficient hash table. See Cl?️ Mark your calendar from March 13, 2024 to February 7, 2024 at Fillmore San Francisco. Bas is a celebration of passion, innovation, and community. Embrace the opportunity to explore the world of Rap/Hip Hop in a dynamic setting in , . Reserve your spot now for tickets starting at just 40.00 ?️.
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