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Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2
  prior

Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior

15 August 2022
Javier Enrique Aguilar
Paul-Christian Bürkner
ArXivPDFHTML

Papers citing "Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior"

10 / 10 papers shown
Title
Projection Predictive Inference for Generalized Linear and Additive
  Multilevel Models
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
Alejandro Catalina
Paul-Christian Bürkner
Aki Vehtari
15
28
0
14 Oct 2020
Group Heterogeneity Assessment for Multilevel Models
Group Heterogeneity Assessment for Multilevel Models
Topi Paananen
Alejandro Catalina
Paul-Christian Bürkner
Aki Vehtari
9
1
0
06 May 2020
Statistical significance in high-dimensional linear mixed models
Statistical significance in high-dimensional linear mixed models
Lina Lin
Mathias Drton
Ali Shojaie
53
5
0
16 Dec 2019
Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model
  posteriors with guaranteed convergence rates
Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates
A. Nishimura
M. Suchard
75
9
0
06 Nov 2019
Bayesian Item Response Modeling in R with brms and Stan
Bayesian Item Response Modeling in R with brms and Stan
Paul-Christian Bürkner
34
382
0
23 May 2019
Probabilistic Programming with Densities in SlicStan: Efficient,
  Flexible and Deterministic
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic
Maria I. Gorinova
Andrew D. Gordon
Charles Sutton
50
23
0
02 Nov 2018
Fitting Linear Mixed-Effects Models using lme4
Fitting Linear Mixed-Effects Models using lme4
D. Bates
M. Machler
B. Bolker
Steven C. Walker
KELM
44
71,467
0
23 Jun 2014
Dirichlet-Laplace priors for optimal shrinkage
Dirichlet-Laplace priors for optimal shrinkage
A. Bhattacharya
D. Pati
Natesh S. Pillai
David B. Dunson
79
440
0
21 Jan 2014
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
285
3,278
0
09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
142
4,275
0
18 Nov 2011
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