JSTOR Daily

Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method

The application of Bayesian methods to large-scale phylogenetics problems is increasingly limited by computational issues, motivating the development of methods that can complement existing Markov ...
Nature

Bayesian mapping of QTL in outbred F2 families allowing inference about whether F0 grandparents are homozygous or heterozygous at QTL

In this paper, we propose a new Bayesian method for QTL analysis in outbred F2 families based on Markov chain Monte Carlo (MCMC) estimation allowing inference about whether each of F0 founders ...
JSTOR Daily

Evaluating the Performance of a Block Updating MCMC Sampler in a Simple Genetic Application

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 12, No. 2 (Jun., 2007), pp. 272-299 (28 pages) Markov chain Monte Carlo (MCMC) methods have provided an enormous break-through ...
Nature

Bayesian Statistics and Inference

Bayesian statistics represents a powerful framework for data analysis that centres on Bayes’ theorem, enabling researchers to update existing beliefs with incoming evidence. By combining prior ...
inc42

What Is Markov Chain Monte Carlo (MCMC)? Here’s All You Need to Know

What Is Markov Chain Monte Carlo? Markov Chain Monte Carlo (MCMC) is a powerful technique used in statistics and various scientific fields to sample from complex probability distributions. It is ...
lse

Bayesian Inference

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is ...
lse

Bayesian Inference

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is ...