27 citations · 54 across the 9 of their papers we have counts for
6 papers · 1 filter
regularized estimation for nonlinear models that have sparse underlying linear structures
Zhiyi Chi
We study the estimation of for the nonlinear model $y = f(X\sp{\top}β) + ε$ when is a nonlinear transformation that is known, has sparse nonzero coordinates, and the nu…
Data volume and power of multiple tests with small sample size per null
Zhiyi Chi
In multiple hypothesis testing, the volume of data, defined as the number of replications per null times the total number of nulls, usually defines the amount of resource required.…
FDR control for multiple hypothesis testing on composite nulls
Zhiyi Chi
Multiple hypothesis testing often involves composite nulls, i.e., nulls that are associated with two or more distributions. In many cases, it is reasonable to assume that there is…
On the performance of FDR control: Constraints and a partial solution
Zhiyi Chi
The False Discovery Rate (FDR) paradigm aims to attain certain control on Type I errors with relatively high power for multiple hypothesis testing. The Benjamini--Hochberg (BH) pro…
On the asymptotic of likelihood ratios for self-normalized large deviations
Zhiyi Chi
Motivated by multiple statistical hypothesis testing, we obtain the limit of likelihood ratio of large deviations for self-normalized random variables, specifically, the ratio of $…
False discovery rate control with multivariate -values
Zhiyi Chi
Multivariate statistics are often available as well as necessary in hypothesis tests. We study how to use such statistics to control not only false discovery rate (FDR) but also po…