Bayesian Variable and Transformation Selection in Linear Regression

By Jennifer A. Hoeting, Adrian E. Raftery, David Madigan. 2002

57 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6a3c90dbc910a5c93709bd1e895daa052252d519

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In Statistics and Probability

1. Adrian E. Raftery
2. Yingye Zheng
3. Chris Fraley
4. W. Al-Mudhafar
5. Bettina Grün
6. Paul David McNicholas
7. Friedrich Leisch
8. J. Fieberg

Citations in the corpus

• Discussion: Performance of Bayesian Model Averaging (2003, background): “…(Raftery, Madigan, and Volinsky 1995), linear regression (Raftery et al. 1997; Hoeting,Madigan,Raftery, and Volinsky 1999;Fernández, Ley, and Steel 2001a,b; Hoeting, Raftery, and Madigan 2002), binary regression (Fernández, Ley, and Steel 2002), and semiparametric regression (Lamon and Clyde 2000).”
• A Semiparametric Basis for Combining Estimation Problems Under Quadratic Loss (2004, unknown): “Following this result, James and Stein (1961), Stein (1962), and Baranchik (1964) combined the k-variate ML estimator Ō”
• SHRINKAGE, PRETEST AND ABSOLUTE PENALTY ESTIMATORS IN PARTIALLY LINEAR MODELS (2007, unknown): “Remark Note that the Steinian strategy is similar in spirit to the model-averaging procedures, Bayesian or otherwise; see Bickel (1984), Hoeting et al. (1999, 2002) and Burnham & Anderson (2002).”