activity
20102023
most citedImproving power posterior estimation of statistical evidence

43 citations · 242 across the 46 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

stat.ME2021

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…

stat.AP2021

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…

physics.soc-ph2021★ 33 cited

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…

stat.AP2021

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…

stat.AP2021

A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef

Luiza Piancastelli, Nial Friel, Julie Vercelloni +2

Relative abundance is a common metric to estimate the composition of species in ecological surveys reflecting patterns of commonness and rarity of biological assemblages. Measureme…

stat.CO2021★ 2 cited

Statistical Network Analysis with Bergm

Alberto Caimo, Lampros Bouranis, Robert Krause +1

Recent advances in computational methods for intractable models have made network data increasingly amenable to statistical analysis. Exponential random graph models (ERGMs) emerge…