Bayesian estimation of the variance of a jitter using MCMC
The problem treated in this paper is the Bayesian estimation of the variance of the sampling jitter occurring when a process is irregularly observed. This problem is often met in practice, and has already being examined using higher order statistics. The Bayesian solution to this problem is performed using powerful stochastic algorithms, the MCMC (Markov chain Monte Carlo) methods.