From the 1 of 3 linked papers with an AI index.
3 papers
math.PR2026
On additive averaging kernels for finite Markov chains
Ryan J. Y. Lim, Michael C. H. Choi
The paper studies kernels obtained by mixing a baseline Markov transition with a Gibbs kernel, derives formulas for minimizing distance to stationarity under Frobenius norm and KL…
math.PR2026
Optimising two-block averaging kernels to speed up Markov chains
Ryan J. Y. Lim, Michael C. H. Choi
We study the problem of selecting optimal two-block partitions to accelerate the mixing of finite Markov chains under group-averaging transformations. The main objectives considere…
math.PR2025
Group-averaged Markov chains II: tuning of group action in finite state space
Michael C. H. Choi, Ryan J. Y. Lim, Youjia Wang
We study group-averaged Markov chains obtained by augmenting a -stationary transition kernel with a group action on the state space via orbit kernels. Given a group $\mathc…