7 citations · 8 across the 2 of their papers we have counts for
3 papers
stat.CO2017
Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution
Alan Benson, Nial Friel
Bayesian inference for models with intractable likelihood functions represents a challenging suite of problems in modern statistics. In this work we analyse the Conway-Maxwell-Pois…
stat.CO2017★ 7 cited
Noisy Hamiltonian Monte Carlo for doubly-intractable distributions
Julien Stoehr, Alan Benson, Nial Friel
Hamiltonian Monte Carlo (HMC) has been progressively incorporated within the statistician's toolbox as an alternative sampling method in settings when standard Metropolis-Hastings…
stat.CO2016★ 1 cited
An adaptive MCMC method for multiple changepoint analysis with applications to large datasets
Alan Benson, Nial Friel
We consider the problem of Bayesian inference for changepoints where the number and position of the changepoints are both unknown. In particular, we consider product partition mode…