A novel algorithmic approach to Bayesian Logic Regression

22 May 2017

Papers citing "A novel algorithmic approach to Bayesian Logic Regression"

12 / 12 papers shown

Title
Flexible Bayesian Nonlinear Model Configuration A. Hubin G. Storvik F. Frommlet BDL 32 7 0 05 Mar 2020
An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models A. Hubin TPM 40 9 0 20 Dec 2019
Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA) A. Hubin G. Storvik 48 21 0 04 Nov 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 67 232 0 11 Jul 2016
Mode jumping MCMC for Bayesian variable selection in GLMM A. Hubin G. Storvik 39 28 0 21 Apr 2016
The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method Alexandre Bouchard-Côté Sebastian J. Vollmer Arnaud Doucet 67 236 0 08 Oct 2015
Laplace Approximation in High-dimensional Bayesian Regression Rina Foygel Barber Mathias Drton Kean Ming Tan 30 26 0 28 Mar 2015
Criteria for Bayesian model choice with application to variable selection M. J. Bayarri J. Berger A. Forte G. García-Donato BDL 51 281 0 24 Sep 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 292 7,883 0 13 Jun 2012
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem James G. Scott J. Berger 116 581 0 10 Nov 2010
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 199 957 0 02 Oct 2010
A comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing M. Bogdan J. Ghosh S. Tokdar 83 101 0 16 May 2008