5 citations · 8 across the 5 of their papers we have counts for
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stat.ME2022
Optimal Sub-sampling to Boost Power of Kernel Sequential Change-point Detection
Song Wei, Chaofan Huang
We present a novel scheme to boost detection power for kernel maximum mean discrepancy based sequential change-point detection procedures. Our proposed scheme features an optimal s…
stat.ME2021★ 5 cited
Constrained Minimum Energy Designs
Chaofan Huang, V. Roshan Joseph, Douglas M. Ray
Space-filling designs are important in computer experiments, which are critical for building a cheap surrogate model that adequately approximates an expensive computer code. Many d…
stat.ME2020★ 3 cited
Population Quasi-Monte Carlo
Chaofan Huang, V. Roshan Joseph, Simon Mak
Monte Carlo methods are widely used for approximating complicated, multidimensional integrals for Bayesian inference. Population Monte Carlo (PMC) is an important class of Monte Ca…