Ying Wei

Q: What Schools Are Affiliated With Ying Wei

Ying Wei is affiliated with the following schools: University of Science and Technology of China, Stanford University, University of Illinois Urbana-Champaign, Columbia University

Ying Wei's AcademicInfluence.com Rankings

Ying Wei

Mathematics

#7266

World Rank

#9905

Historical Rank

Statistics

#829

World Rank

#919

Historical Rank

mathematics Degrees

Download Badge

Mathematics

Ying Wei's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University

Why Is Ying Wei Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Ying Wei is a statistician and a professor of biostatistics in the Columbia University Mailman School of Public Health, working primarily on quantile regression, semiparametric models of longitudinal data, and their applications.

(See a Problem?)

Ying Wei's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Quantile regression methods for reference growth charts (2006) (322)
Post-Selection Inference for Generalized Linear Models With Many Controls (2013) (150)
Conditional growth charts (2006) (136)
Quantile Regression With Measurement Error (2009) (105)
Computational Issues for Quantile Regression (2005) (74)
UNIFORMLY VALID POST-REGULARIZATION CONFIDENCE REGIONS FOR MANY FUNCTIONAL PARAMETERS IN Z-ESTIMATION FRAMEWORK. (2015) (72)
Multiple imputation in quantile regression. (2012) (71)
An Approach to Multivariate Covariate-Dependent Quantile Contours With Application to Bivariate Conditional Growth Charts (2008) (68)
Bent Line Quantile Regression with Application to an Allometric Study of Land Mammals' Speed and Mass (2011) (45)
Honest Confidence Regions for Logistic Regression with a Large Number of Controls (2013) (40)
HONEST CONFIDENCE REGIONS FOR A REGRESSION PARAMETER IN LOGISTIC REGRESSION WITH A LARGE NUMBER OF CONTROLS (2013) (27)
A DYNAMIC QUANTILE REGRESSION TRANSFORMATION MODEL FOR LONGITUDINAL DATA (2009) (23)
ANALYSIS ON CENSORED QUANTILE RESIDUAL LIFE MODEL VIA SPLINE SMOOTHING. (2012) (20)
QUANTILE REGRESSION WITH COVARIATES MISSING AT RANDOM (2014) (17)
Quantile Regression in the Secondary Analysis of Case–Control Data (2016) (13)
PROFILE CONTROL CHARTS BASED ON NONPARAMETRIC L-1 REGRESSION METHODS. (2012) (13)
Lower Rank Approximation of Matrices Based on Fast and Robust Alternating Regression (2008) (12)
ZIAQ: a quantile regression method for differential expression analysis of single-cell RNA-seq data (2020) (9)
Weighted quantile regression with nonelliptically structured covariates (2008) (7)
Discussion of "Multivariate quantiles and multiple-output regression quantiles: From $L_1$ optimization to halfspace depth" (2010) (7)
Longitudinal Growth Charts Based on Semi-Parametric Quantile Regression (2004) (7)
Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths (2015) (6)
REGRESSION BASED PRINCIPAL COMPONENT ANALYSIS FOR SPARSE FUNCTIONAL DATA WITH APPLICATIONS TO SCREENING GROWTH PATHS (2015) (5)
A fast imputation algorithm in quantile regression (2018) (4)
Asymptotics of nonparametric L-1 regression models with dependent data. (2014) (4)
Quantile Regression with Measurement Errors and Missing Data (2017) (2)
STATISTICAL INFERENCE IN QUANTILE REGRESSION FOR ZERO-INFLATED OUTCOMES. (2022) (1)
Semiparametrically efficient estimation in quantile regression of secondary analysis (2018) (1)
Rejoinder: Conditional Growth Charts (2007) (0)
CONDITIONAL GROWTH CHARTS 1 (2007) (0)
Hybrid Censored Quantile Regression Forest to Assess the Heterogeneous Effects (2022) (0)
A unified quantile framework reveals nonlinear heterogeneous transcriptome-wide associations (2022) (0)
ZERO-INFLATED QUANTILE RANK-SCORE BASED TEST (ZIQRANK) WITH APPLICATION TO SCRNA-SEQ DIFFERENTIAL GENE EXPRESSION ANALYSIS. (2021) (0)
Quantile regression for nonignorable missing data with its application of analyzing electronic medical records. (2022) (0)
Varying-Coefficient Quantile Residual Life Model 1 Analysis on Censored Quantile Residual Life Model via Spline Smoothing ( Web Appendix ) (2010) (0)
A fast imputation algorithm in quantile regression (2018) (0)
Optimal sampling for positive only electronic health record data. (2023) (0)

This paper list is powered by the following services:

Other Resources About Ying Wei

en.wikipedia.org

What Schools Are Affiliated With Ying Wei?

Ying Wei is affiliated with the following schools:

Ying Wei's Academic­Influence.com Rankings