4 papers
How Well Do LLMs Simulate Survey Responses Following a Breast Cancer Screening Intervention?
Kenneth Koh, Ryan Jak Yang Lim, Alessandro Sparacio +5
Collecting survey data is laborious and limited by privacy constraints. Large language models (LLMs) have shown promise as predictive social simulations. It is unclear whether they…
On additive averaging kernels for finite Markov chains
Ryan J. Y. Lim, Michael C. H. Choi
We study additive mixtures of Markov kernels of the form , where , is a baseline sampler and is a Gibbs kernel induced by a partition of the s…
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…
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 kernel with orbit kernels induced by a group action. We analyse the Gibbs (), Metropolis--Hasti…