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20172022
most citedComplex sampling designs: uniform limit theorems and applications

3 citations · 7 across the 5 of their papers we have counts for

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9 papers · 1 filter

math.ST2021

Multiplier U-processes: sharp bounds and applications

Qiyang Han

The theory for multiplier empirical processes has been one of the central topics in the development of the classical theory of empirical processes, due to its wide applicability to…

math.ST20201 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.ST20203 cited

On a phase transition in general order spline regression

Yandi Shen, Qiyang Han, Fang Han

In the Gaussian sequence model in , we study the fundamental limit of approximating the signal by a class of (generalized) s…

math.ST2020

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.ST20193 cited

Complex sampling designs: uniform limit theorems and applications

Qiyang Han, Jon A. Wellner

In this paper, we develop a general approach to proving global and local uniform limit theorems for the Horvitz-Thompson empirical process arising from complex sampling designs. Gl…

math.ST2019

Limit distribution theory for block estimators in multiple isotonic regression

Qiyang Han, Cun-Hui Zhang

We study limit distributions for the tuning-free max-min block estimator originally proposed in [FLN17] in the problem of multiple isotonic regression, under both fixed lattice des…