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stat.ME2009★ 2 cited
Bayesian projection approaches to variable selection and exploring model uncertainty
David Nott, Chenlei Leng
A Bayesian approach to variable selection which is based on the expected Kullback-Leibler divergence between the full model and its projection onto a submodel has recently been sug…
stat.ME2007
Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models
Remy Cottet, Robert Kohn, David Nott
We express the mean and variance terms in a double exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predi…