Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation

29 June 2015

Papers citing "Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation"

12 / 12 papers shown

Title
Scalable expectation propagation for generalized linear models Niccolò Anceschi A. Fasano Beatrice Franzolini Giovanni Rebaudo 32 0 0 02 Jul 2024
Efficient computation of predictive probabilities in probit models via expectation propagation A. Fasano Niccolò Anceschi Beatrice Franzolini Giovanni Rebaudo 27 1 0 04 Sep 2023
An extension of the Unified Skew-Normal family of distributions and application to Bayesian binary regression P. Onorati B. Liseo 34 3 0 07 Sep 2022
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 15 8 0 06 Dec 2021
Scalable computation of predictive probabilities in probit models with Gaussian process priors JIAN-PENG Cao Daniele Durante M. Genton 29 11 0 03 Sep 2020
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences J. Speagle 20 1,180 0 03 Apr 2019
On a Metropolis-Hastings importance sampling estimator Daniel Rudolf Björn Sprungk 8 21 0 18 May 2018
Conjugate Bayes for probit regression via unified skew-normal distributions Daniele Durante 32 56 0 26 Feb 2018
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 27 121 0 28 Jun 2017
Bayesian Inference in the Presence of Intractable Normalizing Functions Jaewoo Park M. Haran TPM 30 71 0 23 Jan 2017
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 12 350 0 05 May 2016
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 142 453 0 03 Dec 2007