An approximate confidence interval for recombination fraction in genetic linkage analysis using a two stage Monte Carlo method Gibbs sampling

Abstract

One of the important parameters in genetic linkage analysis is recombination fraction. In this paper, we proposed a two stage Markov Chain Monte Carlo (MCMC) method to calculate an approximate confidence interval (ACI) for the recombination fraction. We also presented a formula for calculation of simulation size namely: outer and inner Gibbs sample sizes.

Key words: Markov Chain Monte Carlo (MCMC), Gibbs sampler, approximate confidence interval, simulation size.