107 citations · 113 across the 3 of their papers we have counts for
3 papers
stat.CO2014★ 1 cited
Likelihood free inference for Markov processes: a comparison
Jamie Owen, Darren J. Wilkinson, Colin S. Gillespie
Approaches to Bayesian inference for problems with intractable likelihoods have become increasingly important in recent years. Approximate Bayesian computation (ABC) and "likelihoo…
stat.CO2014★ 5 cited
A complete data frame work for fitting power law distributions
Colin S. Gillespie
Over the last few decades power law distributions have been suggested as forming generative mechanisms in a variety of disparate fields, such as, astrophysics, criminology and data…
stat.CO2014★ 107 cited
Fitting heavy tailed distributions: the poweRlaw package
Colin S Gillespie
Over the last few years, the power law distribution has been used as the data generating mechanism in many disparate fields. However, at times the techniques used to fit the power…