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Scalable Bayesian inference for the generalized linear mixed model

Scalable Bayesian inference for the generalized linear mixed model

5 March 2024
S. Berchuck
Felipe A. Medeiros
Sayan Mukherjee
Andrea Agazzi
ArXivPDFHTML

Papers citing "Scalable Bayesian inference for the generalized linear mixed model"

3 / 3 papers shown
Title
Scalable MCMC for Mixed Membership Stochastic Blockmodels
Scalable MCMC for Mixed Membership Stochastic Blockmodels
Wenzhe Li
Sungjin Ahn
Max Welling
BDL
32
41
0
16 Oct 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
Variational Inference for Generalized Linear Mixed Models Using
  Partially Noncentered Parametrizations
Variational Inference for Generalized Linear Mixed Models Using Partially Noncentered Parametrizations
Linda S. L. Tan
David J. Nott
43
49
0
17 May 2012
1