|
230
|
RE: Variable selection via Gibbs sampling
– George EI, McCulloch
- 1993
|
|
91
|
Multiple Shrinkage and Subset Selection in Wavelets
– Merlise Clyde, Giovanni Parmigiani, Brani Vidakovic
- 1997
|
|
1581
|
Estimating the dimension of a model
– G E Schwarz
- 1978
|
|
498
|
Adapting to unknown smoothness via wavelet shrinkage
– David L. Donoho, Iain M. Johnstone
- 1995
|
|
86
|
The risk inflation criterion for multiple regression
– D P FOSTER, E I GEORGE
- 1994
|
|
841
|
Information theory and extension of the maximum likelihood principle
– H Akaike
- 1973
|
|
49
|
Flexible empirical Bayes estimation for wavelets
– Merlise Clyde, Edward I. George
- 2000
|
|
75
|
Approaches for Bayesian variable selection
– Edward I. George, Robert E. Mcculloch
- 1997
|
|
788
|
A: Bayesian Theory
– J Bernardo, Smith
- 1994
|
|
1361
|
Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing
– Y Benjamini, Hochberg
- 1995
|
|
13
|
Empirical Bayes approaches to mixture problems and wavelet regression
– Iain M. Johnstone, Bernard W. Silverman
- 1998
|
|
138
|
Adaptive Bayesian wavelet shrinkage
– H Chipman, E Kolaczyk, R McCulloch
- 1997
|
|
160
|
Wavelet Thresholding via a Bayesian Approach
– F. Abramovich, T. Sapatinas, B. W. Silverman
- 1996
|
|
578
|
Ideal spatial adaptation by wavelet shrinkage
– David L. Donoho, Iain M. Johnstone
- 1994
|
|
65
|
Bayesian variable selection in linear regression
– T J Mitchell, J J Beauchamp
- 1988
|
|
76
|
Fractional Bayes Factors for Model Comparison (with discussion
– O’Hagan
- 1995
|
|
133
|
Bayesian Model Averaging for Linear Regression Models
– Adrian E. Raftery, Jennifer A. Hoeting, David Madigan
- 1997
|
|
99
|
The Intrinsic Bayes Factor for Model Selection and Prediction
– J O Berger, L R Perrichi
- 1996
|
|
107
|
Nonparametric regression using Bayesian variable selection
– Michael Smith
- 1996
|