82 citations · 204 across the 14 of their papers we have counts for
4 papers · 1 filter
Variance estimation after matching or re-weighting
Xiang Meng, Aaron Smith, Luke Miratrix
This paper develops a variance estimation framework for matching estimators that enables valid population inference for treatment effects. We provide theoretical analysis of a vari…
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…
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…
Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations
Patrick R. Conrad, Youssef M. Marzouk, Natesh S. Pillai +1
We construct a new framework for accelerating Markov chain Monte Carlo in posterior sampling problems where standard methods are limited by the computational cost of the likelihood…