43 citations · 242 across the 46 of their papers we have counts for
50 papers
Latent Position Network Models
Hardeep Kaur, Riccardo Rastelli, Nial Friel +1
In this chapter, we present a review of latent position models for networks. We review the recent literature in this area and illustrate the basic aspects and properties of this mo…
Bayesian Testing of Scientific Expectations Under Exponential Random Graph Models
Joris Mulder, Nial Friel, Philip Leifeld
The exponential random graph (ERGM) model is a commonly used statistical framework for studying the determinants of tie formations from social network data. To test scientific theo…
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference
Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza +1
In this paper, a multivariate count distribution with Conway-Maxwell (COM)-Poisson marginals is proposed. To do this, we develop a modification of the Sarmanov method for construct…
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model
Francesca Basini, Vasiliki Tsouli, Ioannis Ntzoufras +1
Competitive balance is the subject of much interest in the sports analytics literature and beyond. In this paper, we develop a statistical network model based on an extension of th…
Calibrating COVID-19 SEIR models with time-varying effective contact rates
James P. Gleeson, Thomas Brendan Murphy, Joseph D. O'Brien +3
We describe the population-based SEIR (susceptible, exposed, infected, removed) model developed by the Irish Epidemiological Modelling Advisory Group (IEMAG), which advises the Iri…
Assessing epidemic curves for evidence of superspreading
Joe Meagher, Nial Friel
The expected number of secondary infections arising from each index case, referred to as the reproduction or number, is a vital summary statistic for understanding and managing…