research
∙
04/28/2023
Bayesian Testing of Scientific Expectations Under Exponential Random Graph Models
The exponential random graph (ERGM) model is a popular statistical frame...
share
research
∙
04/06/2023
Latent Position Network Models
In this chapter, we present a review of latent position models for netwo...
research
∙
07/19/2021
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model
Competitive balance is a desirable feature in any professional sports le...
research
∙
07/15/2021
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference
In this paper, a multivariate count distribution with Conway-Maxwell (CO...
research
∙
06/22/2021
Assessing epidemic curves for evidence of superspreading
The expected number of secondary infections arising from each index case...
research
∙
05/05/2021
A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef
Relative abundance is a common metric to estimate the composition of spe...
research
∙
04/06/2021
Statistical Network Analysis with Bergm
Recent advances in computational methods for intractable models have mad...
research
∙
11/10/2018
Bayesian variational inference for exponential random graph models
Bayesian inference for exponential random graphs (ERGMs) is a doubly int...
research
∙
04/06/2018
Discussion of the article "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani
We present a discussion of the paper "Bayesian cluster analysis: point e...
research
∙
04/06/2018
Computationally efficient inference for latent position network models
Latent position models are nowadays widely used for the analysis of netw...
research
∙
12/14/2017
Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo
The reversible jump Markov chain Monte Carlo (RJMCMC) method offers an a...
research
∙
10/11/2017
Efficient MCMC for Gibbs Random Fields using pre-computation
Bayesian inference of Gibbs random fields (GRFs) is often referred to as...
research
∙
09/11/2017
Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution
Bayesian inference for models with intractable likelihood functions repr...
research
∙
05/05/2013
