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Power-Expected-Posterior Priors for Variable Selection in Gaussian
  Linear Models

Power-Expected-Posterior Priors for Variable Selection in Gaussian Linear Models

9 July 2013
D. Fouskakis
I. Ntzoufras
D. Draper
ArXivPDFHTML

Papers citing "Power-Expected-Posterior Priors for Variable Selection in Gaussian Linear Models"

6 / 6 papers shown
Title
On the safe use of prior densities for Bayesian model selection
On the safe use of prior densities for Bayesian model selection
F. Llorente
Luca Martino
E. Curbelo
J. Lopez-Santiago
D. Delgado
64
17
0
10 Jun 2022
Laplace Power-expected-posterior priors for generalized linear models
  with applications to logistic regression
Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression
Anupreet Porwal
Abel Rodríguez
13
1
0
05 Dec 2021
Use of High Dimensional Modeling for automatic variables selection: the
  best path algorithm
Use of High Dimensional Modeling for automatic variables selection: the best path algorithm
Luigi Riso
16
0
0
07 May 2021
Power-Expected-Posterior Priors for Generalized Linear Models
Power-Expected-Posterior Priors for Generalized Linear Models
D. Fouskakis
I. Ntzoufras
K. Perrakis
21
20
0
04 Aug 2015
Power-Conditional-Expected Priors: Using g-priors with Random Imaginary
  Data for Variable Selection
Power-Conditional-Expected Priors: Using g-priors with Random Imaginary Data for Variable Selection
D. Fouskakis
I. Ntzoufras
31
16
0
09 Jul 2013
Limiting behavior of the Jeffreys Power-Expected-Posterior Bayes Factor
  in Gaussian Linear Models
Limiting behavior of the Jeffreys Power-Expected-Posterior Bayes Factor in Gaussian Linear Models
D. Fouskakis
I. Ntzoufras
28
6
0
09 Jul 2013
1