activity
20062026
most citedConfidence regions for high quantiles of a heavy tailed distribution

34 citations · 53 across the 24 of their papers we have counts for

collaborators

24 papers

math.ST2026

Joint Distributions of Minimum and Maximum Angles on High-Dimensional Spheres

Yongcheng Qi, Lijian Yang

Consider independent random vectors sampled from uniform distribution on -dimensional unit sphere. This paper investigates the limiting joint distribution for the minimu…

math.ST2025

A Simplified Condition For Quantile Regression

Liang Peng, Yongcheng Qi

Quantile regression is effective in modeling and inferring the conditional quantile given some predictors and has become popular in risk management due to wide applications of quan…

math.ST2022

Limiting distributions of the likelihood ratio test statistics for independence of normal random vectors

Mingyue Hu, Yongcheng Qi

Consider the likelihood ratio test (LRT) statistics for the independence of sub-vectors from a -variate normal random vector. We are devoted to deriving the limiting distributio…

math.ST2022

Inference of high quantiles of a heavy-tailed distribution from block data

Yongcheng Qi, Mengzi Xie, Jingping Yang

In this paper we consider the estimation problem for high quantiles of a heavy-tailed distribution from block data when only a few largest values are observed within blocks. We pro…

math.PR2022

Some results on probabilities of moderate deviations

Deli Li, Yu Miao, Yongcheng Qi

Let be a sequence of i.i.d. non-degenerate real-valued random variables with . Let , . Le…

math.ST2022★ 1 cited

Empirical likelihood method for complete independence test on high dimensional data

Yongcheng Qi, Yingchao Zhou

Given a random sample of size from a dimensional random vector, where both and are large, we are interested in testing whether the components of the random vect…