380 citations · 678 across the 56 of their papers we have counts for
4 papers · 1 filter
Variational Bayes with Synthetic Likelihood
Victor M-H. Ong, David J. Nott, Minh-Ngoc Tran +2
Synthetic likelihood is an attractive approach to likelihood-free inference when an approximately Gaussian summary statistic for the data, informative for inference about the param…
Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models
Xin Zhang, Scott A. Sisson
The latent Dirichlet allocation (LDA) model is a widely-used latent variable model in machine learning for text analysis. Inference for this model typically involves a single-site…
Constructing Likelihood Functions for Interval-valued Random Variables
Xin Zhang, Boris Beranger, Scott A. Sisson
There is a growing need for the ability to analyse interval-valued data. However, existing descriptive frameworks to achieve this ignore the process by which interval-valued data a…
Exploratory data analysis for moderate extreme values using non-parametric kernel methods
Boris Beranger, Tarn Duong, Sarah E. Perkins-Kirkpatrick +1
In many settings it is critical to accurately model the extreme tail behaviour of a random process. Non-parametric density estimation methods are commonly implemented as explorator…