1.7k citations · 4.6k across the 36 of their papers we have counts for
Showing 2019 · stat.COShow all
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stat.CO2019★ 9 cited
The Integrated Nested Laplace Approximation for fitting Dirichlet regression models
Joaquín Martínez-Minaya, Finn Lindgren, Antonio López-Quílez +2
This paper introduces a Laplace approximation to Bayesian inference in Dirichlet regression models, which can be used to analyze a set of variables on a simplex exhibiting skewness…
stat.CO2019★ 1.7k cited
Rank-normalization, folding, and localization: An improved for assessing convergence of MCMC
Aki Vehtari, Andrew Gelman, Daniel Simpson +2
Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm. In this pape…