#StackBounty: #references #nonparametric Nonparametric theory textbook(s)?

Bounty: 200

I am looking for a nonparametric statistical theory textbook that does not avoid tools from measure-theoretic probability and covers proofs on topics outside of rank-based hypothesis tests: e.g., kernel density estimation, nonparametric estimation, and resampling methods (i.e., bootstrapping, jackknife).

The closest textbook I can find to this is Tsybakov’s Introduction to Nonparametric Estimation. What can I use to supplement this textbook?

Wasserman’s All of Nonparametric Statistics has the appropriate topic coverage, but does not really cover proofs.


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