Ultimate Pólya Gamma Samplers -- Efficient MCMC for possibly imbalanced binary and categorical data

13 November 2020

Papers citing "Ultimate Pólya Gamma Samplers -- Efficient MCMC for possibly imbalanced binary and categorical data"

7 / 7 papers shown

Title
Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression Filippo Ascolani Giacomo Zanella 60 0 0 20 May 2025
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 53 2 0 29 Aug 2024
Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package Gregor Zens Sylvia Fruhwirth-Schnatter Helga Wagner SyDa 19 5 0 07 Jan 2021
A fresh take on 'Barker dynamics' for MCMC Max Hird Samuel Livingstone Giacomo Zanella 53 9 0 17 Dec 2020
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 63 232 0 11 Jul 2016
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation Nicolas Chopin James Ridgway 46 76 0 29 Jun 2015
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 113 4,275 0 18 Nov 2011