1.5k citations · 7.9k across the 139 of their papers we have counts for
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Control of the False Discovery Rate Under Arbitrary Covariance Dependence
Xu Han, Weijie Gu, Jianqing Fan
Multiple hypothesis testing is a fundamental problem in high dimensional inference, with wide applications in many scientific fields. In genome-wide association studies, tens of th…
Nonparametric tests of the Markov hypothesis in continuous-time models
Yacine Aït-Sahalia, Jianqing Fan, Jiancheng Jiang
We propose several statistics to test the Markov hypothesis for -mixing stationary processes sampled at discrete time intervals. Our tests are based on the Chapman--Kolmogorov e…
Nonparametric estimation of genewise variance for microarray data
Jianqing Fan, Yang Feng, Yue S. Niu
Estimation of genewise variance arises from two important applications in microarray data analysis: selecting significantly differentially expressed genes and validation tests for…
A ROAD to Classification in High Dimensional Space
Jianqing Fan, Yang Feng, Xin Tong
For high-dimensional classification, it is well known that naively performing the Fisher discriminant rule leads to poor results due to diverging spectra and noise accumulation. Th…
Estimation in additive models with highly or nonhighly correlated covariates
Jiancheng Jiang, Yingying Fan, Jianqing Fan
Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We intr…
Regularization for Cox's proportional hazards model with NP-dimensionality
Jelena Bradic, Jianqing Fan, Jiancheng Jiang
High throughput genetic sequencing arrays with thousands of measurements per sample and a great amount of related censored clinical data have increased demanding need for better me…