PhD in Statistics
Columbia University, 1994
A General Pairwise Comparison Model for Extremely Sparse Networks
Article
Linearized maximum rank correlation estimation
Article
Metric learning via cross-validation
Article
Broken adaptive ridge regression for right-censored survival data
Article
Surprise sampling: Improving and extending the local case-control sampling
Article
Asymptotic theory of sparse Bradley–Terry model
Article
Article
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning
Article
Estimation of dynamic mixed double factors model in high-dimensional panel data
Article
Article
The broken adaptive ridge procedure and its applications
Article
Adaptive Learning Recommendation Strategy Based on Deep Q-learning
Article
Article
Maximum Likelihood Estimation in Transformed Linear Regression With Nonnormal Errors
Article
Article
Article
Regression Analysis with Response-selective Sampling
Article
Robust rank estimation for transformation models with random effects
Article
Least product relative error estimation
Article
Article
Article
Article
Case-cohort analysis of clusters of recurrent events
Article
Modeling Event Clustering Using the m-Memory Cox-Type Self-Exciting Intensity Model
Article
Efficient estimation of the censored linear regression model
Article
Analysis of cohort survival data with transformation model
Article
Efficient estimation for the Cox model with varying coefficients
Article
ANALYSIS OF MULTIVARIATE FAILURE TIME DATA USING MARGINAL PROPORTIONAL HAZARDS MODEL
Article
Global Partial Likelihood for Nonparametric Proportional Hazards Models
Article
Least absolute relative error estimation
Article
Varying coefficient transformation models with censored data
Article
Analysis of Absolute Deviation
Article
Analysis of least absolute deviation
Article
Design-adaptive minimax local linear regression for longitudinal/clustered data
Article
Partial linear regression models for clustered data
Article
Local polynomial regression analysis of clustered data
Article
Rank estimation in partial linear model with censored data
Article
Generalized case-cohort sampling
Article
Parametric and semiparametric models for recapture and removal studies: a likelihood approach
Article
Parametric models for response-biased sampling
Article
Optimal sequential designs of case-control studies
Article
A note on uniform consistency of the product-limit estimator with staggered entry
Article
Case-cohort and case-control analysis with Cox's model
Article
On the rate of uniform convergence of the product-limit estimator: Strong and weak laws
Article
A counterexample to a conjecture concerning the Hall-Wellner band
Article
On bootstrap accuracy with censored data
Article
ON ASYMPTOTIC OPTIMALITY OF ESTIMATING FUNCTIONS
Article
Article
Article
Regression Analysis with Response-selective Sampling
Article
Robust rank estimation for transformation models with random effects
Article
Least product relative error estimation
Article
Article
Article
Article
Case-cohort analysis of clusters of recurrent events
Article
Modeling Event Clustering Using the m-Memory Cox-Type Self-Exciting Intensity Model
Article
Efficient estimation of the censored linear regression model
Article
Analysis of cohort survival data with transformation model
Article
Efficient estimation for the Cox model with varying coefficients
Article
ANALYSIS OF MULTIVARIATE FAILURE TIME DATA USING MARGINAL PROPORTIONAL HAZARDS MODEL
Article
Global Partial Likelihood for Nonparametric Proportional Hazards Models
Article
Least absolute relative error estimation
Article
Varying coefficient transformation models with censored data
Article
Analysis of Absolute Deviation
Article
Analysis of least absolute deviation
Article
Design-adaptive minimax local linear regression for longitudinal/clustered data
Article
Partial linear regression models for clustered data
Article
Local polynomial regression analysis of clustered data
Article
Rank estimation in partial linear model with censored data
Article
Generalized case-cohort sampling
Article
Parametric and semiparametric models for recapture and removal studies: a likelihood approach
Article
Parametric models for response-biased sampling
Article
Optimal sequential designs of case-control studies
Article
A note on uniform consistency of the product-limit estimator with staggered entry
Article
Case-cohort and case-control analysis with Cox's model
Article
On the rate of uniform convergence of the product-limit estimator: Strong and weak laws
Article
A counterexample to a conjecture concerning the Hall-Wellner band
Article
On bootstrap accuracy with censored data
Article
ON ASYMPTOTIC OPTIMALITY OF ESTIMATING FUNCTIONS
Article
No Publications |
MAFS6001 | Capstone Project in Financial Mathematics II |
MATH3425 | Stochastic Modeling |
MATH4999 | Independent Capstone Project |
MATH6914L | Reading Course: Blockchain Scaling Solutions |
RMBI2001 | Academic and Professional Development in Risk Management and Business Intelligence |
RMBI4980 | Risk Management and Business Intelligence Capstone Project I |
RMBI4990 | Risk Management and Business Intelligence Capstone Project II |
UROP1100I | Undergraduate Research Opportunities Series 1 |
MAFS6010A | Decentralized Finance |
RMBI2001 | Academic and Professional Development in Risk Management and Business Intelligence |
RMBI4980 | Risk Management and Business Intelligence Capstone Project I |
UROP1100H | Undergraduate Research Opportunities Series 1 |
MAFS6100I | Independent Project |
MAFS6001 | Capstone Project in Financial Mathematics II |
MAFS6100H | Independent Project |
MATH3425 | Stochastic Modeling |
RMBI2001 | Academic and Professional Development in Risk Management and Business Intelligence |
RMBI4980 | Risk Management and Business Intelligence Capstone Project I |
RMBI4990 | Risk Management and Business Intelligence Capstone Project II |
No Teaching Assignments |
No Teaching Assignments |
CHEN, Lizhong
(co-supervision)
Mathematics
DE LAVAISSIERE DE LAVERGNE, Cyril Jonathan
Individualized Interdisciplinary Program (Financial Technology)
HUANG, Xunpeng
(co-supervision)
Individualized Interdisciplinary Program (Artificial Intelligence)
YE, Chenlu
(co-supervision)
Individualized Interdisciplinary Program (Artificial Intelligence)
ZHENG, Lifang
Mathematics
SHANG, Zhenhang
Mathematics
SUN, Lei
(co-supervision)
Mathematics
SHEN, Lue
Mathematics
CHEN, Zhishuang
Mathematics
KONG, Wenzhi
(co-supervision)
Individualized Interdisciplinary Program (Data Science and Analytics)
SHEN, Xinwei
(co-supervision)
Mathematics( Completed in 2022 )
HAN, Ruijian
Mathematics( Completed in 2020 )
TAN, Chunxi
Mathematics( Completed in 2020 )
YE, Rougang
Mathematics( Completed in 2020 )
DE LAVAISSIERE DE LAVERGNE, Cyril Jonathan
Mathematics( Completed in 2021 )
FANG, Mengjie
(co-supervision)
Mathematics( Completed in 2021 )
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