Nature

Markov Chain Monte Carlo Methods

Markov Chain Monte Carlo (MCMC) methods have become indispensable in contemporary statistical science, enabling researchers to approximate complex probability distributions that are otherwise ...

Viewbix: Quantum X Labs Announces Provisional Patent Filing for Quantum-Enhanced Clinical Trials Technology

This advancement has the potential to transform conventional "flat" clinical trial data into detailed quantum-resolved biological maps Tel Aviv, Israel, Dec. 22, 2025 (GLOBE NEWSWIRE) -- Viewbix Inc.
JSTOR Daily

Adaptive Markov Chain Monte Carlo for Bayesian Variable Selection

We describe adaptive Markov chain Monte Carlo (MCMC) methods for sampling posterior distributions arising from Bayesian variable selection problems. Point-mass mixture priors are commonly used in ...
JSTOR Daily

A Markov Chain Monte Carlo Expectation Maximization Algorithm for Statistical Analysis of DNA Sequence Evolution with Neighbor-Dependent Substitution Rates

The evolution of DNA sequences can be described by discrete state continuous time Markov processes on a phylogenetic tree. We consider neighbor-dependent evolutionary models where the instantaneous ...
Nature

Monte Carlo Methods and Markov Chain Algorithms

Monte Carlo methods and Markov Chain algorithms have long been central to computational science, forming the backbone of numerical simulation in a variety of disciplines. These techniques employ ...