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Robert E. McCulloch
Researcher at Arizona State University
Publications - 92
Citations - 14041
Robert E. McCulloch is an academic researcher from Arizona State University. The author has contributed to research in topics: Bayesian probability & Prior probability. The author has an hindex of 36, co-authored 89 publications receiving 12525 citations. Previous affiliations of Robert E. McCulloch include University of Texas at Austin & University of Chicago.
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Variable selection via Gibbs sampling
TL;DR: In this paper, the Gibbs sampler is used to indirectly sample from the multinomial posterior distribution on the set of possible subset choices to identify the promising subsets by their more frequent appearance in the Gibbs sample.
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BART: Bayesian additive regression trees
TL;DR: A Bayesian "sum-of-trees" model where each tree is constrained by a regularization prior to be a weak learner, and fitting and inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior.
Journal Article
Approaches for bayesian variable selection
TL;DR: The authors compare various hierarchical mixture prior formulations of variable selection uncertainty in normal linear regression models, including the nonconjugate SSVS formulation of George and McCulloch (1993), as well as conjugate formulations which allow for analytical simplification.
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The Value of Purchase History Data in Target Marketing
TL;DR: In this article, the authors assess the information content of various information sets available for direct marketing purposes and show that even relatively short purchase histories can produce a net gain in revenue from target couponing which is 2.5 times the gain from blanket couponing.
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Bayesian CART Model Search
TL;DR: A Bayesian approach for finding classification and regression tree (CART) models by having the prior induce a posterior distribution that will guide the stochastic search toward more promising CART models.