Mixture reduction via predictive scores
Inference for circular distributions and processes
A simulation approach to convergence rates for Markov chain Monte Carlo algorithms
On a differential equation approach to the weighted orthogonal Procrustes problem
Conditional simulation for moving average processes with discrete or continuous values
Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation
An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems