research
∙
04/26/2023
Mixtures of Gaussian process experts based on kernel stick-breaking processes
Mixtures of Gaussian process experts is a class of models that can simul...
share
research
∙
03/22/2022
Bayesian outcome selection modelling
Psychiatric and social epidemiology often involves assessing the effects...
research
∙
05/31/2021
Fitting Structural Equation Models via Variational Approximations
Structural equation models are commonly used to capture the structural r...
research
∙
12/22/2020
Bayesian structural equation modeling for data from multiple cohorts
While it is well known that high levels of prenatal alcohol exposure (PA...
research
∙
07/23/2018
Subsampling MCMC - An introduction for the survey statistician
The rapid development of computing power and efficient Markov Chain Mont...
research
∙
07/23/2018
Subsampling MCMC - A review for the survey statistician
The rapid development of computing power and efficient Markov Chain Mont...
research
∙
05/08/2018
Subsampling Sequential Monte Carlo for Static Bayesian Models
Our article shows how to carry out Bayesian inference by combining data ...
research
∙
08/02/2017
