We propose a novel set of Poisson Cluster Process models to detect
Ultra...
In many applications that involve the inference of an unknown smooth
fun...
Laplace's method is used to approximate intractable integrals in a wide ...
Models for dependent data are distinguished by their targets of inferenc...
We describe how to approximate the intractable marginal likelihood that
...
We define a novel class of additive models called Extended Latent Gaussi...
We provide the first stochastic convergence rates for adaptive Gauss–Her...
I introduce the aghq package for implementing approximate Bayesian infer...