Yang Ning

I am a postdoctoral fellow in Operations Research and Financial Engineering at Princeton University. I work under the supervision of Professor Han Liu.

I am interested in developing statistical methods and theory for analyzing big and complex data. I am currently developing a unified framework for post-regularization inference to control the rate of false scientific discoveries in high dimensional problems.

Awards


2012 David P. Byar Young Investigator Award

2012 ENAR Distinguished Student Paper Award

Selected Papers

Local and Global Inference for High Dimensional Gaussian Copula Graphical Models
Quanquan Gu, Yuan Cao, Yang Ning, Han Liu
Submitted, 2015. [Arxiv]
Do-over: Replicates in High Dimensions, with Applications to Latent Variable Graphical Models
Keanming Tan, Yang Ning, Daniela Witten, Han Liu
Submitted, 2015.
On Semiparametric Exponential Family Graphical Models
Zhuoran Yang, Yang Ning, Han Liu
Submitted, 2014. [Arxiv]
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu
Submitted, 2014. [Arxiv]
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model
Ethan X. Fang, Yang Ning, Han Liu
Submitted, 2014. [Arxiv][Code]
A Conditional Composite Likelihood Ratio Test with Boundary Constraints
Yong Chen, Jing Huang, Yang Ning, Kung-Yee Liang, Bruce Lindsay
Biometrika, (under revision), 2015.
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models
Yang Ning, Han Liu
The Annals of Statistics, (under revision), 2014. [Arxiv]
SPARC: A Likelihood Ratio Framework for High Dimensional Semiparametric Inference
Yang Ning, Han Liu
The Annals of Statistics, (under revision), 2014. [Arxiv]
On the Pseudolikelihood Inference for Semiparametric Models with Boundary Problems
Yong Chen, Jing Ning, Yang Ning, Kung-Yee Liang, Karen Bandeen-Roche
Biometrika, (under revision), 2014.
High Dimensional Semiparametric Latent Graphical Model for Mixed Data
Jianqing Fan, Han Liu, Yang Ning, Hui Zou
Journal of Royal Statistical Society, Series B, 2015. [Arxiv]
Estimation of Covariate-specific Time-dependent ROC Curves in the Presence of Missing Biomarkers
Shanshan Li, Yang Ning
Biometrics, 2015. [PDF]
Reducing the Sensitivity to Nuisance Parameters in Pseudo-Likelihood Functions
Yang Ning, Kung-Yee Liang, Nancy Reid
Canadian Journal of Statistics, 2014. [PDF]
High-dimensional Semiparametric Bigraphical Models
Yang Ning, Han Liu
Biometrika, 2013. [PDF]
Differential Principal Component Analysis of ChIP-seq
Hongkai Ji, Xia Li, Qian-fei Wang, Yang Ning
Proceedings of the National Academy of Sciences, 2013. [PDF]