The exponential random graph (ERGM) model is a popular statistical frame...
In this chapter, we present a review of latent position models for netwo...
Competitive balance is a desirable feature in any professional sports le...
In this paper, a multivariate count distribution with Conway-Maxwell
(CO...
The expected number of secondary infections arising from each index case...
Relative abundance is a common metric to estimate the composition of spe...
Recent advances in computational methods for intractable models have mad...
Bayesian inference for exponential random graphs (ERGMs) is a doubly
int...
We present a discussion of the paper "Bayesian cluster analysis: point
e...
Latent position models are nowadays widely used for the analysis of netw...
The reversible jump Markov chain Monte Carlo (RJMCMC) method offers an
a...
Bayesian inference of Gibbs random fields (GRFs) is often referred to as...
Bayesian inference for models with intractable likelihood functions
repr...
Probabilistic k-nearest neighbour (PKNN) classification has been introdu...