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Scalable inference for crossed random effects models

Scalable inference for crossed random effects models

26 March 2018
O. Papaspiliopoulos
Gareth O. Roberts
Giacomo Zanella
ArXivPDFHTML

Papers citing "Scalable inference for crossed random effects models"

4 / 4 papers shown
Title
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
Jinlin Lai
Justin Domke
Daniel Sheldon
21
0
0
31 Oct 2024
On Gibbs Sampling for Structured Bayesian Models Discussion of paper by
  Zanella and Roberts
On Gibbs Sampling for Structured Bayesian Models Discussion of paper by Zanella and Roberts
Xiaodong Yang
Jun S. Liu
AI4CE
9
1
0
16 Dec 2021
Scalable Bayesian computation for crossed and nested hierarchical models
Scalable Bayesian computation for crossed and nested hierarchical models
O. Papaspiliopoulos
Timothée Stumpf-Fétizon
Giacomo Zanella
18
7
0
19 Mar 2021
Variable transformation to obtain geometric ergodicity in the
  random-walk Metropolis algorithm
Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm
Leif Johnson
C. Geyer
66
51
0
27 Feb 2013
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