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Scalable Bayesian computation for crossed and nested hierarchical models

Scalable Bayesian computation for crossed and nested hierarchical models

19 March 2021
O. Papaspiliopoulos
Timothée Stumpf-Fétizon
Giacomo Zanella
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Papers citing "Scalable Bayesian computation for crossed and nested hierarchical models"

2 / 2 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
26
0
0
31 Oct 2024
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for
  Log-Concave Sampling
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
Keru Wu
S. Schmidler
Yuansi Chen
39
50
0
27 Sep 2021
1