Yen-Chi Chen works on nonparametric statistics, Causal inference, missing data and geometric analysis of data. His University of Washington research page also lists mixture models, astrostatistics and applied statistics.[ref]
His bootstrap notes explain the distinction between the unknown population distribution and the empirical distribution used for resampling. They also discuss when a bootstrap approximation can fail, including an endpoint of a uniform distribution. This is a useful bridge between a computational recipe and the mathematical conditions needed for reliable statistical inference.[ref]
Lecture 12: The Bootstrap. The Bootstrap; High level idea of how bootstrap works; Failure of the bootstrap
Homepage: faculty.washington.edu/yenchic/
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