Variance component models for longitudinal count data with baseline information
A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution
Comparative analysis of modern optimization tools for the p-median problem
Sampling from compositional and directional distributions
Minimum variance unbiased estimation based on bootstrap iterations
Deterministic approximate inference techniques for conditionally Gaussian state space models
Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials
Computation of final outcome probabilities for the generalised stochastic epidemic