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20182021
most citedBayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm

5 citations · 5 across the 3 of their papers we have counts for

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Showing 2020Show all

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stat.CO2020

Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo

Thomas A. Catanach, Huy D. Vo, Brian Munsky

Stochastic reaction network models are often used to explain and predict the dynamics of gene regulation in single cells. These models usually involve several parameters, such as t…