The Bayesian approach to data analysis provides a powerful way to handle...
Accounting for sex and gender characteristics is a complex, structural
c...
Gaussian latent variable models are a key class of Bayesian hierarchical...
Latent Gaussian models are a popular class of hierarchical models with
a...
A central theme in the field of survey statistics is estimating
populati...
This paper introduces a Laplace approximation to Bayesian inference in
r...
Air pollution constitutes the highest environmental risk factor in relat...
Cognitive modelling shares many features with statistical modelling, mak...
Markov chain Monte Carlo is a key computational tool in Bayesian statist...
Verifying the correctness of Bayesian computation is challenging. This i...
Coming up with Bayesian models for spatial data is easy, but performing
...
While it's always possible to compute a variational approximation to a
p...
A large number of statistical models are "doubly-intractable": the likel...