activity
20172026
most citedBeyond Gaussian Approximation: Bootstrap for Maxima of Sums of Independent Random Vectors

19 citations · 42 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Information-Theoretic Distributed Point Functions with Shorter Keys

Hang Deng, Liang Feng Zhang

A t-private n-server Information-Theoretic Distributed Point Function ((t,n)-ITDPF) allows one to convert any point function f_{alpha,beta}(x): [N] -> G into n shares (secret keys)…

math.ST2020★ 9 cited

Slightly Conservative Bootstrap for Maxima of Sums

Hang Deng

We study the bootstrap for the maxima of the sums of independent random variables, a problem of high relevance to many applications in modern statistics. Since the consistency of b…

math.ST2020★ 1 cited

Inference for local parameters in convexity constrained models

Hang Deng, Qiyang Han, Bodhisattva Sen

We consider the problem of inference for local parameters of a convex regression function based on observations from a standard nonparametric regression…

math.ST2020★ 5 cited

Confidence intervals for multiple isotonic regression and other monotone models

Hang Deng, Qiyang Han, Cun-Hui Zhang

We consider the problem of constructing pointwise confidence intervals in the multiple isotonic regression model. Recently, [HZ19] obtained a pointwise limit distribution theory fo…

math.ST2018★ 8 cited

Isotonic Regression in Multi-Dimensional Spaces and Graphs

Hang Deng, Cun-Hui Zhang

In this paper we study minimax and adaptation rates in general isotonic regression. For uniform deterministic and random designs in with and noise, the…

stat.ME2017★ 19 cited

Beyond Gaussian Approximation: Bootstrap for Maxima of Sums of Independent Random Vectors

Hang Deng, Cun-Hui Zhang

The Bonferroni adjustment, or the union bound, is commonly used to study rate optimality properties of statistical methods in high-dimensional problems. However, in practice, the B…