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Estimation and Inference for Very Large Linear Mixed Effects Models

Estimation and Inference for Very Large Linear Mixed Effects Models

25 October 2016
Katelyn Gao
Art B. Owen
ArXivPDFHTML

Papers citing "Estimation and Inference for Very Large Linear Mixed Effects Models"

6 / 6 papers shown
Title
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods
Pascal Kündig
Fabio Sigrist
24
0
0
14 May 2025
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
38
0
0
31 Oct 2024
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed
  Effects Models
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models
Xinyu Zhang
Cheng Li
28
0
0
18 Dec 2022
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
18
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
37
10
0
19 Mar 2021
Scalable inference for crossed random effects models
Scalable inference for crossed random effects models
O. Papaspiliopoulos
Gareth O. Roberts
Giacomo Zanella
42
37
0
26 Mar 2018
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