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stat.ME2024
Sparse Bayesian multidimensional scaling(s)
Ami Sheth, Aaron Smith, Andrew J. Holbrook
Bayesian multidimensional scaling (BMDS) is a probabilistic dimension reduction tool that allows one to model and visualize data consisting of dissimilarities between pairs of obje…
stat.ME2024
Perturbations of Markov Chains
Daniel Rudolf, Aaron Smith, Matias Quiroz
This chapter surveys progress on three related topics in perturbations of Markov chains: the motivating question of when and how "perturbed" MCMC chains are developed, the theoreti…