31 citations · 55 across the 9 of their papers we have counts for
10 papers
Equivariant Variance Estimation for Multiple Change-point Model
Ning Hao, Yue Selena Niu, Han Xiao
The variance of noise plays an important role in many change-point detection procedures and the associated inferences. Most commonly used variance estimators require strong assumpt…
Quadratic Discriminant Analysis by Projection
Ruiyang Wu, Ning Hao
Discriminant analysis, including linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA), is a popular approach to classification problems. It is well known th…
A super scalable algorithm for short segment detection
Ning Hao, Yue Selena Niu, Feifei Xiao +1
In many applications such as copy number variant (CNV) detection, the goal is to identify short segments on which the observations have different means or medians from the backgrou…
A backward procedure for change-point detection with applications to copy number variation detection
Seung Jun Shin, Yichao Wu, Ning Hao
Change-point detection regains much attention recently for analyzing array or sequencing data for copy number variation (CNV) detection. In such applications, the true signals are…
Multiple Change-point Detection: a Selective Overview
Yue S. Niu, Ning Hao, Heping Zhang
Very long and noisy sequence data arise from biological sciences to social science including high throughput data in genomics and stock prices in econometrics. Often such data are…
A New Reduced-Rank Linear Discriminant Analysis Method and Its Applications
Yue Selena Niu, Ning Hao, Bin Dong
We consider multi-class classification problems for high dimensional data. Following the idea of reduced-rank linear discriminant analysis (LDA), we introduce a new dimension reduc…
Model Selection for High Dimensional Quadratic Regression via Regularization
Ning Hao, Yang Feng, Hao Helen Zhang
Quadratic regression (QR) models naturally extend linear models by considering interaction effects between the covariates. To conduct model selection in QR, it is important to main…
A Note on High Dimensional Linear Regression with Interactions
Ning Hao, Hao Helen Zhang
The problem of interaction selection has recently caught much attention in high dimensional data analysis. This note aims to address and clarify several fundamental issues in inter…
Sparsifying the Fisher Linear Discriminant by Rotation
Ning Hao, Bin Dong, Jianqing Fan
Many high dimensional classification techniques have been proposed in the literature based on sparse linear discriminant analysis (LDA). To efficiently use them, sparsity of linear…
Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression
Jianqing Fan, Shaojun Guo, Ning Hao
Variance estimation is a fundamental problem in statistical modeling. In ultrahigh dimensional linear regressions where the dimensionality is much larger than sample size, traditio…