19 citations · 58 across the 15 of their papers we have counts for
5 papers · 1 filter
Quantile Treatment Effects and Bootstrap Inference under Covariate-Adaptive Randomization
Yichong Zhang, Xin Zheng
In this paper, we study the estimation and inference of the quantile treatment effect under covariate-adaptive randomization. We propose two estimation methods: (1) the simple quan…
Determining the Number of Communities in Degree-corrected Stochastic Block Models
Shujie Ma, Liangjun Su, Yichong Zhang
We propose to estimate the number of communities in degree-corrected stochastic block models based on a pseudo likelihood ratio statistic. To this end, we introduce a method that c…
Strong Consistency of Spectral Clustering for Stochastic Block Models
Liangjun Su, Wuyi Wang, Yichong Zhang
In this paper we prove the strong consistency of several methods based on the spectral clustering techniques that are widely used to study the community detection problem in stocha…
Quasi-Bayesian Inference for Production Frontiers
Xiaobin Liu, Thomas Tao Yang, Yichong Zhang
We propose a quasi-Bayesian method to conduct inference for the production frontier. This approach combines multiple first-stage extreme quantile estimates by the quasi-Bayesian me…
Non-separable Models with High-dimensional Data
Liangjun Su, Takuya Ura, Yichong Zhang
This paper studies non-separable models with a continuous treatment when the dimension of the control variables is high and potentially larger than the effective sample size. We pr…