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- W2758853485 abstract "A novel fully automatic Bayesian procedure for variable selection in normal regression models is proposed, along with computational strategies for model posterior evaluation. A stochastic search algorithm is given, based on the Metropolis-Hastings Algorithm, that has a stationary distribution proportional to the model posterior probabilities. The procedure is illustrated on both simulated and real examples." @default.
- W2758853485 created "2017-10-06" @default.
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- W2758853485 date "2003-01-01" @default.
- W2758853485 modified "2023-09-23" @default.
- W2758853485 title "2003 BRADLEY LECTURE JOINT COLLOQUIUM" @default.
- W2758853485 hasPublicationYear "2003" @default.
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