Runze Li

Q: What Schools Are Affiliated With Runze Li

Runze Li is affiliated with the following schools: Taiyuan University of Technology, Ludong University, Wuhan University of Technology, University of Southern California, Pennsylvania State University, Stanford University, University of North Carolina at Chapel Hill

Runze Li's AcademicInfluence.com Rankings

Runze Li

Mathematics

#4484

World Rank

#6361

Historical Rank

Statistics

#229

World Rank

#284

Historical Rank

mathematics Degrees

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Mathematics

Runze Li's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University

Why Is Runze Li Influential?

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According to Wikipedia, Runze Li is an American statistical scientist, currently the Eberly Family Chair Professor in Statistics at Eberly College of Science, Pennsylvania State University. He became a Fellow of Institute of Mathematical Statistics in 2009, a Fellow of the American Statistical Association in 2011 and a Fellow of the American Association for the Advancement of Science in 2017.

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Runze Li'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

Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties (2001) (8004)
One-step Sparse Estimates in Nonconcave Penalized Likelihood Models. (2008) (1171)
Design and Modeling for Computer Experiments (2005) (995)
Tuning parameter selectors for the smoothly clipped absolute deviation method. (2007) (728)
Feature Screening via Distance Correlation Learning (2012) (620)
Variable Selection for Cox's proportional Hazards Model and Frailty Model (2002) (577)
Efficient Estimation and Inferences for Varying-Coefficient Models (2000) (476)
Variable Selection using MM Algorithms. (2005) (472)
New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis (2004) (438)
Model-Free Feature Screening for Ultrahigh-Dimensional Data (2011) (407)
Sensitivity and Specificity of Information Criteria (2018) (403)
Statistical Challenges with High Dimensionality: Feature Selection in Knowledge Discovery (2006) (378)
Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs. (2009) (326)
NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS. (2011) (301)
Variable Selection in Semiparametric Regression Modeling. (2008) (291)
Regularization Parameter Selections via Generalized Information Criterion (2010) (266)
Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension (2012) (250)
Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function (2007) (249)
A time-varying effect model for intensive longitudinal data. (2012) (232)
The Bayesian lasso for genome-wide association studies (2011) (221)
ESTIMATION AND TESTING FOR PARTIALLY LINEAR SINGLE-INDEX MODELS. (2010) (218)
Local composite quantile regression smoothing: an efficient and safe alternative to local polynomial regression (2010) (212)
Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis (2015) (196)
Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates (2014) (185)
Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data (2006) (172)
Climate control of terrestrial carbon exchange across biomes and continents (2010) (169)
Variable Selection for Partially Linear Models With Measurement Errors (2009) (168)
Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models (2005) (159)
CALIBRATING NON-CONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION. (2013) (151)
Effect of friction coefficient on chip thickness models in ductile-regime grinding of zirconia ceramics (2019) (122)
Tribology of enhanced turning using biolubricants: A comparative assessment (2022) (121)
A High-Dimensional Nonparametric Multivariate Test for Mean Vector (2015) (113)
Variable selection for multivariate failure time data. (2005) (105)
VARIABLE SELECTION IN LINEAR MIXED EFFECTS MODELS. (2012) (104)
Using the Time-Varying Effect Model (TVEM) to Examine Dynamic Associations between Negative Affect and Self Confidence on Smoking Urges: Differences between Successful Quitters and Relapsers (2012) (102)
Local modal regression (2012) (100)
Semiempirical heat flux model of hard-brittle bone material in ductile microgrinding (2021) (99)
MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES. (2012) (98)
Developmental changes in anger expression and attention focus: learning to wait. (2011) (98)
Surface morphology evaluation of multi-angle 2D ultrasonic vibration integrated with nanofluid minimum quantity lubrication grinding (2020) (95)
Milling surface roughness for 7050 aluminum alloy cavity influenced by nozzle position of nanofluid minimum quantity lubrication (2020) (91)
Experimental evaluation of surface topographies of NMQL grinding ZrO2 ceramics combining multiangle ultrasonic vibration (2018) (90)
Nonparametric Mixture of Regression Models (2013) (89)
Design and Modeling for Computer Experiments (Computer Science & Data Analysis) (2005) (89)
Effects of Physicochemical Properties of Different Base Oils on Friction Coefficient and Surface Roughness in MQL Milling AISI 1045 (2021) (88)
Milling force and surface morphology of 45 steel under different Al2O3 nanofluid concentrations (2020) (87)
A dynamic model for genome-wide association studies (2011) (87)
Introduction to Nonparametric Regression (2006) (85)
Electrostatic atomization minimum quantity lubrication machining: from mechanism to application (2022) (84)
Statistical inference in massive data sets (2012) (84)
FADTTS: Functional analysis of diffusion tensor tract statistics (2011) (82)
Statistical Foundations of Data Science (2020) (74)
Convective Heat Transfer Coefficient Model Under Nanofluid Minimum Quantity Lubrication Coupled with Cryogenic Air Grinding Ti–6Al–4V (2020) (70)
Data analysis in supersaturated designs (2002) (67)
Local Rank Inference for Varying Coefficient Models (2009) (67)
Advancing the understanding of craving during smoking cessation attempts: a demonstration of the time-varying effect model. (2013) (67)
Statistical models for longitudinal zero‐inflated count data with applications to the substance abuse field (2012) (62)
Weighted Wilcoxon‐Type Smoothly Clipped Absolute Deviation Method (2009) (60)
Projection correlation between two random vectors (2017) (60)
Some Q-Q Probability Plots to Test Spherical and Elliptical Symmetry (1997) (60)
New local estimation procedure for a non‐parametric regression function for longitudinal data (2013) (59)
Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening (2016) (59)
Feature Screening for Ultrahigh Dimensional Categorical Data With Applications (2013) (59)
Nonparametric Covariance Model (2008) (59)
Variable Screening via Quantile Partial Correlation (2017) (58)
Variable Selection in Measurement Error Models. (2010) (57)
Variable selection for support vector machines in moderately high dimensions (2016) (56)
New variable selection methods for zero‐inflated count data with applications to the substance abuse field (2011) (55)
BAYESIAN GROUP LASSO FOR NONPARAMETRIC VARYING-COEFFICIENT MODELS WITH APPLICATION TO FUNCTIONAL GENOME-WIDE ASSOCIATION STUDIES. (2015) (54)
Testing multivariate uniformity and its applications (2001) (51)
Testing multinormality based on low-dimensional projection☆ (2000) (50)
Majorization framework for balanced lattice designs (2005) (49)
Process parameter optimization and experimental evaluation for nanofluid MQL in grinding Ti-6Al-4V based on grey relational analysis (2018) (45)
Time-varying processes involved in smoking lapse in a randomized trial of smoking cessation therapies. (2014) (43)
SEMIPARAMETRIC QUANTILE REGRESSION WITH HIGH-DIMENSIONAL COVARIATES. (2012) (43)
Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM) (2021) (43)
Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions (2017) (41)
Tribological properties under the grinding wheel and workpiece interface by using graphene nanofluid lubricant (2019) (40)
FEATURE SCREENING FOR TIME-VARYING COEFFICIENT MODELS WITH ULTRAHIGH DIMENSIONAL LONGITUDINAL DATA. (2016) (39)
Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications (2008) (38)
Spectral analysis and power spectral density evaluation in Al2O3 nanofluid minimum quantity lubrication milling of 45 steel (2018) (37)
Understanding the role of cessation fatigue in the smoking cessation process. (2013) (37)
Temperature field model and experimental verification on cryogenic air nanofluid minimum quantity lubrication grinding (2018) (36)
A multivariate version of Ghosh's T 3 -plot to detect non-multinormality (1998) (35)
Regularized Quantile Regression and Robust Feature Screening for Single Index Models. (2016) (35)
Modeling intensive longitudinal data with mixtures of nonparametric trajectories and time-varying effects. (2015) (34)
Depression and marijuana use disorder symptoms among current marijuana users. (2018) (34)
A nonparametric method for separating photosynthesis and respiration components in CO2 flux measurements (2004) (34)
Bayesian Statistical Inference on Elliptical Matrix Distributions (1999) (33)
Microscale bone grinding temperature by dynamic heat flux in nanoparticle jet mist cooling with different particle sizes (2018) (33)
A FAST ALGORITHM FOR DETECTING GENE-GENE INTERACTIONS IN GENOME-WIDE ASSOCIATION STUDIES. (2014) (32)
Effects of the physicochemical properties of different nanoparticles on lubrication performance and experimental evaluation in the NMQL milling of Ti–6Al–4V (2018) (31)
Machinability of ultrasonic vibration-assisted micro-grinding in biological bone using nanolubricant (2023) (30)
GLOBAL SOLUTIONS TO FOLDED CONCAVE PENALIZED NONCONVEX LEARNING. (2016) (30)
Modeling complexity of EMA data: time-varying lagged effects of negative affect on smoking urges for subgroups of nicotine addiction. (2014) (30)
Facile fabrication of sandwich-like anthocyanin/chitosan/lemongrass essential oil films via 3D printing for intelligent evaluation of pork freshness. (2021) (29)
Comparative assessment of force, temperature, and wheel wear in sustainable grinding aerospace alloy using biolubricant (2022) (29)
Uniform design: design, analysis and applications (2004) (29)
Evaluation of Reproducibility for Paired Functional Data. (2005) (29)
Modeling nonlinear time-dependent treatment effects: an application of the generalized time-varying effect model (TVEM). (2014) (28)
Feature Screening in Ultrahigh Dimensional Cox's Model. (2016) (28)
A Local Linear Estimation Procedure for Functional Multilevel Modeling. (2006) (28)
Validating the Integrated Multisatellite Retrievals for Global Precipitation Measurement in Terms of Diurnal Variability With Hourly Gauge Observations Collected at 50,000 Stations in China (2018) (27)
Uniform design for computer experiments and its optimal properties (2006) (27)
Error Variance Estimation in Ultrahigh-Dimensional Additive Models (2018) (27)
Model-Free Feature Screening for Ultrahigh (2014) (26)
Analysis Methods for Supersaturated Design: Some Comparisons (2003) (26)
Recent History Functional Linear Models for Sparse Longitudinal Data. (2011) (26)
On the Feasibility of Distributed Kernel Regression for Big Data (2015) (25)
Model-Free Feature Screening and FDR Control With Knockoff Features (2019) (25)
Empirical Likelihood in Survival Analysis (2005) (25)
A Tuning-free Robust and Efficient Approach to High-dimensional Regression (2020) (24)
Robust neural network with applications to credit portfolio data analysis. (2010) (24)
Mechanical behavior and semiempirical force model of aerospace aluminum alloy milling using nano biological lubricant (2023) (24)
Functional data analysis for dynamical system identification of behavioral processes. (2014) (24)
Testing a single regression coefficient in high dimensional linear models. (2016) (24)
Combined Diffusion Tensor Imaging and Apparent Transverse Relaxation Rate Differentiate Parkinson Disease and Atypical Parkinsonism (2017) (24)
Local Likelihood SiZer Map (2005) (22)
Grinding model and material removal mechanism of medical nanometer zirconia ceramics. (2014) (22)
Specific Energy and G ratio of Grinding Cemented Carbide under Different Cooling and Lubrication Conditions (2019) (21)
Estimating Mixture of Gaussian Processes by Kernel Smoothing (2013) (20)
A Bayesian semiparametric model for bivariate sparse longitudinal data (2013) (20)
Model-Free Forward Screening Via Cumulative Divergence (2020) (20)
LINEAR HYPOTHESIS TESTING FOR HIGH DIMENSIONAL GENERALIZED LINEAR MODELS. (2019) (19)
CONSISTENT SELECTION OF THE NUMBER OF CHANGE-POINTS VIA SAMPLE-SPLITTING. (2020) (19)
SEMIPARAMETRIC ESTIMATION OF CONDITIONAL HETEROSCEDASTICITY VIA SINGLE-INDEX MODELING. (2013) (19)
Some methods for generating both an NT-net and the uniform distribution on a Stiefel manifold and their applications (1997) (19)
Distributed Feature Screening via Componentwise Debiasing (2019) (19)
Dynamic semiparametric Bayesian models for genetic mapping of complex trait with irregular longitudinal data (2013) (19)
Online Sufficient Dimension Reduction Through Sliced Inverse Regression (2020) (19)
Prediction‐Based Structured Variable Selection through the Receiver Operating Characteristic Curves (2011) (19)
A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces (2016) (18)
Time-varying effects of smoking quantity and nicotine dependence on adolescent smoking regularity. (2013) (18)
Embryonic craniofacial bone volume and bone mineral density in Fgfr2+/P253R and nonmutant mice (2014) (18)
Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation (2020) (18)
Surface passivation of InGaN nanorods using H3PO4 treatment for enhanced photoelectrochemical performance (2019) (18)
Analysis of grinding mechanics and improved grinding force model based on randomized grain geometric characteristics (2022) (17)
Circulating Cholesterol Levels May Link to the Factors Influencing Parkinson’s Risk (2017) (17)
Discussion of \Sure Independence Screening for Ultra-High Dimensional Feature Space" (2008) (16)
A statistical model for mapping morphological shape (2010) (16)
HYPOTHESIS TESTING ON LINEAR STRUCTURES OF HIGH DIMENSIONAL COVARIANCE MATRIX. (2019) (16)
Local Composite Quantile Regression Smoothing for Harris Recurrent Markov Processes. (2016) (16)
An overview on variable selection for longitudinal data (2007) (16)
A dynamic model for functional mapping of biological rhythms (2011) (16)
Portal Nodes Screening for Large Scale Social Networks. (2019) (15)
395 nm GaN-based near-ultraviolet light-emitting diodes on Si substrates with a high wall-plug efficiency of 52.0%@350 mA. (2019) (15)
A new estimation procedure for a partially nonlinear model via a mixed‐effects approach (2007) (15)
Shale pore characteristics of Shahejie Formation: Implication for pore evolution of shale oil reservoirs in Dongying sag, north China (2019) (15)
TIME-VARYING COEFFICIENT MODELS FOR JOINT MODELING BINARY AND CONTINUOUS OUTCOMES IN LONGITUDINAL DATA. (2016) (15)
Robust estimation for partially linear models with large-dimensional covariates (2013) (14)
Spraying parameter optimization and microtopography evaluation in nanofluid minimum quantity lubrication grinding (2019) (14)
Time‐varying effect models for ordinal responses with applications in substance abuse research (2014) (14)
Folded concave penalized learning in identifying multimodal MRI marker for Parkinson’s disease (2016) (14)
MODEL SELECTION FOR ANALYSIS OF UNIFORM DESIGN AND COMPUTER EXPERIMENT (2002) (14)
Variable selection for partially linear models via partial correlation (2018) (13)
Variable Selection via Partial Correlation. (2017) (13)
Homogeneity tests of covariance matrices with high-dimensional longitudinal data. (2019) (13)
Examining measurement reactivity in daily diary data on substance use: Results from a randomized experiment. (2019) (13)
A selective overview of feature screening for ultrahigh-dimensional data (2015) (13)
Partial linear varying multi-index coefficient model for integrative gene-environment interactions. (2016) (13)
Local CQR Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression. (2010) (13)
Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning (2020) (13)
Effect of friction coefficient on chip thickness models in ductile-regime grinding of zirconia ceramics (2019) (12)
How Spacing of Data Collection May Impact Estimates of Substance Use Trajectories (2011) (12)
Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing (2012) (12)
An effective algorithm for generation of factorial designs with generalized minimum aberration (2007) (12)
Local linear regression for data with AR errors (2009) (12)
Weighted quantile regression for AR model with infinite variance errors (2012) (12)
The application of Kriging and empirical Kriging based on the variables selected by SCAD. (2006) (12)
Variable selection and inference procedures for marginal analysis of longitudinal data with missing observations and covariate measurement error (2015) (12)
An overview on quadratic inference function approaches for longitudinal data (2008) (11)
Generalized Varying-Coefficient Models (1999) (11)
Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming (2019) (11)
TEST OF SIGNIFICANCE FOR HIGH-DIMENSIONAL LONGITUDINAL DATA. (2020) (11)
Central limit theorem for linear spectral statistics of large dimensional Kendall’s rank correlation matrices and its applications (2019) (10)
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection (2020) (10)
Changes in Substance Use-Related Health Risk Behaviors on the Timeline Follow-Back Interview as a Function of Length of Recall Period (2014) (10)
Time-varying copula models for longitudinal data. (2018) (10)
Event‐Based Evaluation of the GPM Multisatellite Merged Precipitation Product From 2014 to 2018 Over China: Methods and Results (2020) (10)
Variable selection for high-dimensional data (2005) (9)
The association between short-term emotion dynamics and cigarette dependence: A comprehensive examination of dynamic measures. (2020) (9)
A time-varying effect model for studying gender differences in health behavior (2017) (9)
Nanofluids application in machining: a comprehensive review (2023) (8)
Uncovering Multiple Pathways to Substance Use: A Comparison of Methods for Identifying Population Subgroups (2010) (8)
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing (2021) (8)
The expected values of invariant polynomials with matrix argument of elliptical distributions (1997) (8)
Nicotine-dependence-varying effects of smoking events on momentary mood changes among adolescents. (2015) (8)
Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists. (2019) (8)
Projection Test for High-Dimensional Mean Vectors with Optimal Direction (2015) (8)
Ultrahigh Dimensional Precision Matrix Estimation via Refitted Cross Validation. (2020) (7)
Propensity Score Regression for Causal Inference With Treatment Heterogeneity (2021) (7)
The characteristic functions of spherical matrix distributions (1993) (7)
Penalized Likelihood Kriging Model for Analysis of Computer Experiments (2003) (7)
Empirical Kriging models and their applications to QSAR (2007) (7)
Inference in high dimensional linear measurement error models (2020) (7)
A Bayesian Framework for Functional Mapping through Joint Modeling of Longitudinal and Time-to-Event Data (2012) (7)
Intensive longitudinal data and model with varying effects (2010) (7)
Model and Algorithm for Linkage Disequilibrium Analysis in a Non-Equilibrium Population (2011) (7)
Linear Hypothesis Testing in Linear Models With High-Dimensional Responses. (2021) (7)
Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling (2020) (7)
Analysis of grain tribology and improved grinding temperature model based on discrete heat source (2022) (6)
Variable Selection for Screening Experiments (2009) (6)
Variable selection in semiparametric modeling (2007) (6)
AN OVERVIEW ON NONPARAMETRIC AND SEMIPARAMETRIC TECHNIQUES FOR LONGITUDINAL DATA (2006) (6)
Model-free conditional independence feature screening for ultrahigh dimensional data (2017) (6)
Semiparametric regression for measurement error model with heteroscedastic error (2019) (6)
A mixed-type test for linearity in time series (2000) (6)
Research on the performance of a novel electro-hydraulic proportional directional valve with position-feedback groove (2021) (6)
Prediction-based Termination Rule for Greedy Learning with Massive Data. (2016) (6)
Threshold selection in feature screening for error rate control* (2021) (6)
Statistical methods for evaluating the correlation between timeline follow-back data and daily process data with applications to research on alcohol and marijuana use. (2019) (6)
High Dimensional Inference (2020) (6)
Dynamic Modeling of Genes Controlling Cancer Stem Cell Proliferation (2012) (6)
FEATURE SELECTION FOR GENERALIZED VARYING COEFFICIENT MIXED-EFFECT MODELS WITH APPLICATION TO OBESITY GWAS. (2020) (6)
An overview on variable selection for survival data analysis (2005) (5)
A time‐varying effect model for examining group differences in trajectories of zero‐inflated count outcomes with applications in substance abuse research (2017) (5)
Thermodynamic Mechanism of Nanofluid Minimum Quantity Lubrication Cooling Grinding and Temperature Field Models (2018) (5)
Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems (2020) (5)
On the ultrahigh dimensional linear discriminant analysis problem with a diverging number of classes (2013) (5)
A Distribution Free Conditional Independence Test with Applications to Causal Discovery (2021) (5)
Two‐stage model for time varying effects of zero‐inflated count longitudinal covariates with applications in health behaviour research (2016) (5)
Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data (2019) (5)
Modeling and Experimental Investigation of the Flow Velocity Field in the Grinding Zone (2014) (5)
Local Linear Approximation Algorithm for Neural Network (2022) (4)
VARYING COEFFICIENT MODELS FOR DATA WITH AUTO-CORRELATED ERROR PROCESS. (2015) (4)
Two‐stage model for time‐varying effects of discrete longitudinal covariates with applications in analysis of daily process data (2015) (4)
Empirical likelihood test for a large-dimensional mean vector (2020) (4)
Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors (2021) (4)
Model-Free Conditional Feature Screening with FDR Control (2022) (4)
Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic (2021) (4)
Modeling Computer Experiments with Functional Response (2005) (4)
Recent History Functional Linear Models (2011) (4)
Efficiency improved by monolithic integration of HEMT with vertical-structure LEDs and Mg doping on dry etched GaN (2019) (4)
Validating E-cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors. (2021) (4)
Variable Selection and Feature Screening (2019) (3)
Local Composite Quantile Regression Smoothing for Harris Recurrent Markov Processes (2015) (3)
A New Procedure for Controlling False Discovery Rate in Large-Scale t-tests (2020) (3)
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression (2020) (3)
A note on a nonparametric regression test through penalized splines. (2014) (3)
Inference on covariance-mean regression (2021) (3)
Nonparametric Regression of Covariance Structuresin Longitudinal Studies (2009) (3)
Empirical likelihood inference for semi-parametric estimating equations (2013) (3)
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors (2021) (3)
A Connection Between Variable Selection and EM-Type Algorithms (2002) (3)
NON‐PARAMETRIC ESTIMATION UNDER STRONG DEPENDENCE (2014) (3)
Suppression of HAX-1 induced by miR-325 resensitizes bladder cancer cells to cisplatin-induced apoptosis. (2020) (3)
Time-varying Effects of GABRG1 and Maladaptive Peer Behavior on Externalizing Behavior from Childhood to Adulthood: Testing Gene × Environment × Development Effects (2019) (2)
Nonlinear Varying-Coefficient Models with Applications to a Photosynthesis Study (2014) (2)
Feature Screening for Network Autoregression Model. (2021) (2)
Estimation of scale matrix of elliptically contoured matrix distributions (1995) (2)
An overview of tests on high-dimensional means (2021) (2)
Comment (2014) (2)
Feature Screening in Ultrahigh Dimensional Generalized Varying-coefficient Models. (2020) (2)
Estimation and inference for the mediation effect in a time-varying mediation model (2020) (2)
Local modeling: Density estimation and nonparametric regression (2015) (2)
Model-free forward regression via cumulative divergence (2019) (2)
A NEW APPROACH FOR TESTING SYMMETRY OF A HIGH-DIMENSIONAL DISTRIBUTION* (2007) (2)
A STABILIZED UNIFORM Q-Q PLOT TO DETECT NON-MULTINORMALITY (2006) (2)
Modeling Computer Experiments with Multiple Responses (2007) (2)
Latin Hypercube Sampling and Its Modifications (2005) (2)
Iterative Conditional Maximization Algorithm for Nonconcave Penalized Likelihood (2011) (2)
Variable Selection via Regularization (2013) (2)
Feature screening in ultrahigh-dimensional varying-coefficient Cox model (2019) (2)
Mixture of Gaussian Processes and its Applications (2010) (2)
A new pixel-to-object method for evaluating the capability of the GPM IMERG product to quantify precipitation systems (2022) (2)
Estimation of scatter matrix based on i.i.d. sample from elliptical distributions (1995) (1)
Feature Screening (2020) (1)
Himawari-8-derived diurnal variations of ground-level PM2.5 pollution across China using a fast space-time Light Gradient Boosting Machine (2021) (1)
Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties (2021) (1)
Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease (2021) (1)
Quantitative evaluation of morphological characteristics of thin sand body: taking the deltaic distributary channel sand body as an example in Shengtuo oil field of Dongying sag, east of Bohai Bay Basin (2021) (1)
Experimental evaluation of surface topographies of NMQL grinding ZrO2 ceramics combining multiangle ultrasonic vibration (2018) (1)
Stable correlation and robust feature screening (2021) (1)
SUPPLEMENT TO “ LINEAR HYPOTHESIS TESTING FOR HIGH DIMENSIONAL GENERALIZED LINEAR MODELS (2018) (1)
Variable Selection and Empirical Likelihood based Inferenc for Measurement Error Data 1 (2006) (1)
PROC SCADGLIM User's Guide (Version 1.1 beta) (2010) (1)
A block mixture model to map eQTLs for gene clustering and networking (2015) (1)
Discussion of "Estimation and Accuracy after Model Selection" by Brad Efron. (2014) (1)
Projection Test for Mean Vector in High Dimensions (2022) (1)
Projection Test with Sparse Optimal Direction for High-Dimensional One Sample Mean Problem (2020) (1)
Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data (2021) (1)
Temperature field model and experimental verification on cryogenic air nanofluid minimum quantity lubrication grinding (2018) (1)
A semivarying joint model for longitudinal binary and continuous outcomes (2016) (1)
Testing the effects of high-dimensional covariates via aggregating cumulative covariances (2022) (1)
Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions (2017) (1)
A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood (2020) (1)
A study on elastic properties of carbon nanocones based on a temperature-related quasi-continuum model (2017) (1)
Variable selection for partially linear models via Bayesian subset modeling with diffusing prior (2021) (1)
The Pennsylvania State University (2004) (1)
High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity (2022) (1)
TESTING ON LINEAR STRUCTURES OF HIGH DIMENSIONAL COVARIANCE MATRIX By (2018) (0)
Rejoinder to “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” (2020) (0)
Optimization in Construction of Designs for Computer Experiments (2005) (0)
Estimations and Tests for Generalized Mediation Models with High-Dimensional Potential Mediators (2023) (0)
Subtypes of dual users of combustible and electronic cigarettes: longitudinal changes in product use and dependence symptomatology. (2022) (0)
Penalized M-estimators (2020) (0)
Submitted to the Annals of Statistics SUPPLEMENT TO “ TEST OF SIGNIFICANCE FOR HIGH-DIMENSIONAL LONGITUDINAL DATA ” By (2019) (0)
The Heat Distribution Mechanism and Improved Temperature Model Based on Discrete Heat Source (2022) (0)
Local linear robust regression for serially correlated data (2010) (0)
Model-Free Statistical Inference on High-Dimensional Data (2022) (0)
Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-dimensional Data (2022) (0)
Smoking cessation fatigue and in relapsers and successful quitters using a time-varying effects model (2012) (0)
Choosing among complete factorial, fractional factorial, and other designs to maximize scientific gain in relation to resources expended (2008) (0)
ErratumThe characteristic functions of spherical matrix distributions (1994) (0)
Analysis of Grinding Mechanics and Improved Grinding Force Model Based on Randomized Grain Morphological Characteristics (2022) (0)
Spraying parameter optimization and microtopography evaluation in nanofluid minimum quantity lubrication grinding (2019) (0)
Supervised Learning (2020) (0)
Supplemental Materials for “Variable screening via quantile partial” correlation (2016) (0)
High and ultrahigh dimensional data analysis (2011) (0)
Joint Likelihood estimation for joint modeling survival and multiple longitudinal processes (2015) (0)
Robust estimation for partially linear models with large-dimensional covariates (2013) (0)
Variable selection and nonparametric goodness of fit test in function data analysis (2003) (0)
Covariance Learning and Factor Models (2020) (0)
Causal discoveries for high dimensional mixed data (2022) (0)
Asymptotic Behavior of Cox's Partial Likelihood and its Application to Variable Selection. (2018) (0)
Spectral analysis and power spectral density evaluation in Al2O3 nanofluid minimum quantity lubrication milling of 45 steel (2018) (0)
Penalized Least Squares: Properties (2020) (0)
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure (2023) (0)
Variable Selection in Measurement Error Models1 (2008) (0)
Feature screening for ultrahigh dimension data (2013) (0)
New statistical methods inspired by data collected from alcohol and substance abuse research (2018) (0)
Multiple and Nonparametric Regression (2020) (0)
Statistical Models for Space Filling Designs and Optimalities of Uniform Designs (2003) (0)
Assessment of measurement agreement for longitudinal/functional data (2007) (0)
Big Data: Applications and Statistical Analytical Tools (2015) (0)
Effects of the physicochemical properties of different nanoparticles on lubrication performance and experimental evaluation in the NMQL milling of Ti–6Al–4V (2018) (0)
The time-varying lagged effects of momentary negative affect on smoking urges: Application of the time-varying effect model (TVEM) (2012) (0)
Evaluation of High Temperature Interfacial Bonding Strength of Ti3SiC2-Al2O3 Joint in Air (2013) (0)
Submitted to the Annals of Statistics SUPPLEMENTAL MATERIAL FOR “ MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES (2012) (0)
An overview on joint modeling of censored survival time and longitudinal data (2011) (0)
Recrystallization t extures and m icrostructures of Al-0 . 3 % Cu a lloy after d eformation to h igh s trains X (2017) (0)
Model-free Feature Screening with Projection Correlation and FDR Control with Knockoff Features (2019) (0)
Food Insecurity and Affective Well-Being in Low-Income Adults: An Ecological Momentary Assessment Study Over Two Months (2021) (0)
Applications of Factor Models and PCA (2020) (0)
Climatology and changes in internal intensity distributions of global precipitation systems over 2001-2020 based on IMERG (2023) (0)
New estimation procedure for nonparametric regression function of longitudinal data (2012) (0)
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data (2021) (0)
How well does the IMERG satellite precipitation product capture the timing of precipitation events? (2023) (0)
Supplementary material to "Himawari-8-derived diurnal variations of ground-level PM2.5 pollution across China using a fast space-time Light Gradient Boosting Machine" (2021) (0)
Evaluation of the performance of a satellite precipitation product from the precipitation event perspective (2019) (0)
Introduction to Penalized Least-Squares (2020) (0)
Organize an invited talk session on Recent Advances on variable selection and regularization methods (2012) (0)
Dependence of GPM precipitation product performance on the spatial extent of precipitation system and relative location in precipitation system (2020) (0)
Role of atrium in automaticity of the sinus node (2015) (0)
Nonlinear Varying-Coefficient Models with Applications to a Photosynthesis Study (2013) (0)
Covariance Regularization and Graphical Models (2020) (0)
SUPPLEMENT TO “MODEL-FREE FORWARD SCREEN- ING VIA CUMULATIVE DIVERGENCE” (2019) (0)
Evaluation of reproducibility for the functional data or repeated-paired measures (2002) (0)
Model Sele tion for Multivariate Failure Time (2007) (0)
Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills (2022) (0)
Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data (Preprint) (2019) (0)
Statistical inferences on partially linear models and their applications (2005) (0)
Nonlinear Varying Coefficient Models with Applications to Studying Photosynthesis. (2014) (0)
Testing a Single Regression Coefficient in High Dimensional Regression Model (2016) (0)
Unsupervised Learning (2020) (0)
Causal Structural Learning on MPHIA Individual Dataset (2022) (0)
Variable Selection for High-dimensional Nodal Attributes in Social Networks with Degree Heterogeneity* (2023) (0)
Finite Mixtures of Time-Varying Effect Models with an Application to Smoking Cessation Data (2015) (0)
Introduction (2020) (0)
Model-free conditional independence feature screening for ultrahigh dimensional data (2016) (0)
Yi et al 2010 supplementary data (2010) (0)
Department of Statistics 2010 Annual Alumni Workshop (2010) (0)
Variable Selection in Measurement Error Models Via Penalized Estimating Equations (2007) (0)
Empirical likelihood inference for semi-parametric estimating equations (2012) (0)
Title Sieve likelihood ratio statistics and Wilks phenomenon (1999) (0)
Generalized Linear Models and Penalized Likelihood (2020) (0)
The Penn State Methodology Center: Bringing the power of innovative methods to bear on drug abuse (2009) (0)
Title Variable Selection via Penalized Likelihood Permalink (1999) (0)

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