BayesLogit

PolyaGamma Sampling

Nicholas G. Polson, James G. Scott, Jesse Windle

Last update: 26 September 2019

Copyright license: GNU General Public License

Software version identifier: 2.1

Source code repository: https://github.com/cran/BayesLogit

Cites work

Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

Related Items (49)

Geometric ergodicity of Pólya-Gamma Gibbs sampler for Bayesian logistic regression with a flat prior ⋮ Adjusted regularization in latent graphical models: application to multiple-neuron spike count data ⋮ Unnamed Item ⋮ On the use of Cauchy prior distributions for Bayesian logistic regression ⋮ Objective Bayesian edge screening and structure selection for Ising networks ⋮ Bayesian degree-corrected stochastic blockmodels for community detection ⋮ Analysis of the Pólya-gamma block Gibbs sampler for Bayesian logistic linear mixed models ⋮ A unified statistical framework for single cell and bulk RNA sequencing data ⋮ The Pólya-gamma Gibbs sampler for Bayesian logistic regression is uniformly ergodic ⋮ Gibbs posterior inference on the minimum clinically important difference ⋮ Bayesian mixture modeling for spectral density estimation ⋮ Bayesian dynamic financial networks with time-varying predictors ⋮ From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering ⋮ Genomic prediction models for count data ⋮ Dynamic model-based clustering for spatio-temporal data ⋮ Convergence analysis of the block Gibbs sampler for Bayesian probit linear mixed models with improper priors ⋮ Dropout training for SVMs with data augmentation ⋮ A nested expectation-maximization algorithm for latent class models with covariates ⋮ Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data ⋮ A novel variational Bayesian method for variable selection in logistic regression models ⋮ Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction ⋮ Tree ensembles with rule structured horseshoe regularization ⋮ Unnamed Item ⋮ Bayesian inference and testing of group differences in brain networks ⋮ Optimal Gaussian approximations to the posterior for log-linear models with Diaconis-Ylvisaker priors ⋮ Bayesian analysis of dynamic linear topic models ⋮ Probit models for capture-recapture data subject to imperfect detection, individual heterogeneity and misidentification ⋮ Hmsc ⋮ Unnamed Item ⋮ neuromplex ⋮ Bayesian Spectral Modeling for Multiple Time Series ⋮ New formulation of the logistic-Gaussian process to analyze trajectory tracking data ⋮ Conditionally conjugate mean-field variational Bayes for logistic models ⋮ Contraction properties of shrinkage priors in logistic regression ⋮ Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership ⋮ A Pólya–Gamma sampler for a generalized logistic regression ⋮ Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures ⋮ ddtlcm ⋮ Climate inference on daily rainfall across the Australian continent, 1876--2015 ⋮ A flexible probabilistic framework for large-margin mixture of experts ⋮ Unnamed Item ⋮ Unnamed Item ⋮ High-dimensional Bayesian inference via the unadjusted Langevin algorithm ⋮ Consistent estimation of the spectrum of trace class data augmentation algorithms ⋮ A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market ⋮ Keeping the balance -- bridge sampling for marginal likelihood estimation in finite mixture, mixture of experts and Markov mixture models ⋮ Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables ⋮ Gibbs samplers for logistic item response models via the Pólya-gamma distribution: a computationally efficient data-augmentation strategy ⋮ Inferring network structure in non-normal and mixed discrete-continuous genomic data

This page was built for software: BayesLogit