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Hyper-g Priors for Generalized Linear Models

Hyper-g Priors for Generalized Linear Models

9 August 2010
Daniel Sabanés Bové
L. Held
ArXiv (abs)PDFHTML

Papers citing "Hyper-g Priors for Generalized Linear Models"

14 / 14 papers shown
Title
Quantifying the effectiveness of linear preconditioning in Markov chain
  Monte Carlo
Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
Max Hird
Samuel Livingstone
70
5
0
08 Dec 2023
Adaptive MCMC for Bayesian variable selection in generalised linear
  models and survival models
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models
Xitong Liang
Samuel Livingstone
Jim Griffin
82
6
0
01 Aug 2023
Sampling-based inference for large linear models, with application to
  linearised Laplace
Sampling-based inference for large linear models, with application to linearised Laplace
Javier Antorán
Shreyas Padhy
Riccardo Barbano
Eric T. Nalisnick
David Janz
José Miguel Hernández-Lobato
BDL
53
17
0
10 Oct 2022
An extension of the Unified Skew-Normal family of distributions and
  application to Bayesian binary regression
An extension of the Unified Skew-Normal family of distributions and application to Bayesian binary regression
P. Onorati
B. Liseo
75
3
0
07 Sep 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
28
1
0
05 Dec 2021
Bayesian Variable Selection for Gaussian copula regression models
Bayesian Variable Selection for Gaussian copula regression models
Angelos N. Alexopoulos
L. Bottolo
28
11
0
18 Jul 2019
Efficient MCMC Sampling with Dimension-Free Convergence Rate using
  ADMM-type Splitting
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Maxime Vono
Daniel Paulin
Arnaud Doucet
144
37
0
23 May 2019
Bayesian hypothesis tests with diffuse priors: Can we have our cake and
  eat it too?
Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?
J. Ormerod
M. Stewart
Weichang Yu
S. E. Romanes
40
6
0
25 Oct 2017
Model Averaging and its Use in Economics
Model Averaging and its Use in Economics
M. Steel
MoMe
72
246
0
24 Sep 2017
High-dimensional Bayesian inference via the Unadjusted Langevin
  Algorithm
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
178
358
0
05 May 2016
Power-Expected-Posterior Priors for Generalized Linear Models
Power-Expected-Posterior Priors for Generalized Linear Models
D. Fouskakis
I. Ntzoufras
K. Perrakis
158
20
0
04 Aug 2015
Approximate Bayesian Model Selection with the Deviance Statistic
Approximate Bayesian Model Selection with the Deviance Statistic
L. Held
Daniel Sabanés Bové
I. Gravestock
74
27
0
30 Aug 2013
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
169
16
0
09 Jul 2013
Objective Bayesian hypothesis testing in binomial regression models with
  integral prior distributions
Objective Bayesian hypothesis testing in binomial regression models with integral prior distributions
Diego Salmerón
J. Cano
Christian P. Robert
47
2
0
28 Jun 2013
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