21 citations · 32 across the 4 of their papers we have counts for
4 papers
Fingerprint Analysis with Marked Point Processes
Peter G. M. Forbes, Steffen Lauritzen, Jesper Møller
We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for…
A Fast Algorithm for Sampling from the Posterior of a von Mises distribution
Peter G. M. Forbes, Kanti V. Mardia
Motivated by molecular biology, there has been an upsurge of research activities in directional statistics in general and its Bayesian aspect in particular. The central distributio…
Compatible Weighted Proper Scoring Rules
Peter G. M. Forbes
Many proper scoring rules such as the Brier and log scoring rules implicitly reward a probability forecaster relative to a uniform baseline distribution. Recent work has motivated…
Linear Estimating Equations for Exponential Families with Application to Gaussian Linear Concentration Models
Peter G. M. Forbes, Steffen Lauritzen
In many families of distributions, maximum likelihood estimation is intractable because the normalization constant for the density which enters into the likelihood function is not…