63 citations · 531 across the 74 of their papers we have counts for
4 papers · 1 filter
Bayesian semi-parametric forecasting of ultrafine particle number concentration with penalised splines and autoregressive errors
Sam Clifford, Bjarke Mølgaard, Sama Low Choy +4
Observational time series data often exhibit both cyclic temporal trends and autocorrelation and may also depend on covariates. As such, there is a need for flexible regression mod…
A Bayesian spatio-temporal model of panel design data: airborne particle number concentration in Brisbane, Australia
Sam Clifford, Sama Low Choy, Mandana Mazaheri +3
This paper outlines a methodology for semi-parametric spatio-temporal modelling of data which is dense in time but sparse in space, obtained from a split panel design, the most fea…
In praise of the referee
Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen +1
There has been a lively debate in many fields, including statistics and related applied fields such as psychology and biomedical research, on possible reforms of the scholarly publ…
Bayesian computation via empirical likelihood
K. L. Mengersen, P. Pudlo, C. P. Robert
Approximate Bayesian computation (ABC) has become an essential tool for the analysis of complex stochastic models when the likelihood function is numerically unavailable. However,…