Lily Wang

About

Lily Wang is a Professor of Statistics at George Mason University. She received her Ph.D. in Statistics from Michigan State University in 2007. Prior to joining Mason in 2021, she was on the faculty of Iowa State University (2014-2021) and the University of Georgia (2007-2014). Professor Wang is highly regarded internationally for her work on non/semi-parametric regression methods. She has broad interests across statistical learning of data objects with complex features, methodologies for functional data, spatiotemporal data, imaging data, and survey sampling. Working at the interface of statistics, mathematics, and computer science, she is also interested in developing cutting-edge statistical methods for solving issues related to data science and big data analytics. The methods she developed have a wide application in economics, engineering, neuroimaging, epidemiology, environmental studies, and biomedical science. Professor Wang is a fellow of both the Institute of Mathematical Statistics (2020) and the American Statistical Association (2021) and an Elected Member of the International Statistical Institute (2008). She is the recipient of multiple NSF awards, SEC Research Fellowship (2019-2020) and ASA/NSF/BLS Senior Research Fellowship (2020-2011), Mid-Career Achievement in Research Award (2021), COVID-19 Exceptional Effort Research Impact Award (2021) from Iowa State University and the M. G. Michael Research Award (2012) from the University of Georgia. Professor Wang is currently serving on the editorial board of Journal of the Royal Statistical Society, Series B, Journal of Nonparametric Statistics, and Statistical Analysis and Data Mining.

Work

George Mason University
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Professor

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Iowa State University
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Professor

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Iowa State University
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Associate Professor

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University of Georgia
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Associate Professor

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University of Georgia
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Assistant Professor

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Education

Michigan State University
United States of America

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PhD

Publications

Data Science for Infectious Disease Data Analytics

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CRC Press

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book

Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference

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Journal of the American Statistical Association

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journal-article

Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains

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Journal of the American Statistical Association

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Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing

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Journal of Nonparametric Statistics

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Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification

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Journal of Time Series Analysis

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Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients

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Journal of the American Statistical Association

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Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning

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Journal of Computational and Graphical Statistics

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Two-year follow-up of dementia caregivers after a digital health intervention WECARE: a mixed-method study

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Aging & Mental Health

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TSSS: a novel triangulated spherical spline smoothing for surface-based data

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Journal of Nonparametric Statistics

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Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models

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Spatial Statistics

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Estimating 1 km gridded daily air temperature using a spatially varying coefficient model with sign preservation

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Remote Sensing of Environment

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A global dataset of daily near-surface air temperature at 1-km resolution (2003–2020)

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preprint

Nonparametric estimation and inference for spatiotemporal epidemic models

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Journal of Nonparametric Statistics

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Spatiotemporal autoregressive partially linear varying coefficient models

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Statistica Sinica

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Sparse learning and structure identification for ultrahigh-dimensional image-on-scalar regression

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Journal of the American Statistical Association

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Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing

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Journal of Applied Statistics

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Modeling and forecasting COVID-19

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Notices of the American Mathematical Society

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Generalized spatially varying coefficient models

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Journal of Computational and Graphical Statistics

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Methods, challenges, and practical issues of COVID-19 projection: a data science perspective

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Journal of Data Science

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Multivariate spline estimation and inference for image-on-scalar regression

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Statistica Sinica

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Spatially varying coefficient models with sign preservation of the coefficient functions

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Journal of Agricultural, Biological and Environmental Statistics

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Genetic factors of Alzheimer's disease modulate how diet is associated with long-term cognitive trajectories: a UK Biobank Study

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Journal of Alzheimer's Disease

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Walking in the Light: How History of Physical Activity, Sunlight, and Vitamin D Account for Body Fat—A UK Biobank Study

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Obesity

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Simultaneous confidence corridors for mean functions in functional data analysis of imaging data

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Biometrics

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Spatial autoregressive partially linear varying coefficient models

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Journal of Nonparametric Statistics

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Estimation and inference for generalized geoadditive models

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Journal of the American Statistical Association

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Simultaneous confidence band for stationary covariance function of dense functional data

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Journal of Multivariate Analysis

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Estimation and inference for functional linear regression models with partially varying regression coefficients

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Stat

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Efficient estimation of partially linear models for data on complicated domains by bivariate penalized splines over triangulations

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Statistica Sinica

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Sparse model identification and learning for ultra-high-dimensional additive partially linear models

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Journal of Multivariate Analysis

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Aging-related changes in fluid intelligence, muscle and adipose mass, and sex-specific immunologic mediation: A longitudinal UK Biobank study

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Brain, Behavior, and Immunity

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Sparse model identification and learning for ultra-high-dimensional additive partially linear models

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Journal of Multivariate Analysis

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Variable selection for partially linear proportional hazards model with covariate measurement error

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Journal of Nonparametric Statistics

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Additive partially linear models for ultra‐high‐dimensional regression

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Stat

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Regional soil erosion assessment based on a sample survey and geostatistics

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Hydrology and Earth System Sciences

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Estimation and inference in spatially varying coefficient models

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Environmetrics

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Semi-parametric prediction intervals in small areas when auxiliary data are measured with error

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Statistica Sinica

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Simultaneous inference for the mean of repeated functional data

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Journal of Multivariate Analysis

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Simultaneous inference for the mean of repeated functional data

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Journal of Multivariate Analysis

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Efficient estimation for generalized partially linear single-index models

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Bernoulli

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Oracle-efficient confidence envelopes for covariance functions in dense functional data

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Statistica Sinica

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Partially time-varying coefficient proportional hazards models with error-prone time-dependent covariates—an application to the AIDS Clinical Trial Group 175 data

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The Annals of Applied Statistics

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Spline estimation and variable selection for single-index prediction models with diverging number of index parameters

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Journal of Statistical Planning and Inference

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Variable selection and estimation for longitudinal survey data

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Journal of Multivariate Analysis

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Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates

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The Annals of Statistics

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journal-article

A simultaneous confidence corridor for varying coefficient regression with sparse functional data

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Test

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journal-article

Bivariate penalized splines for regression

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Statistica Sinica

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journal-article

Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data

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Bernoulli

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journal-article

Efficient semiparametric GARCH modeling of financial volatility

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Statistica Sinica

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journal-article

Spline confidence bands for functional derivatives

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Journal of Statistical Planning and Inference

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Nonparametric additive model-assisted estimation for survey data

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Journal of Multivariate Analysis

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Estimation and variable selection for semiparametric additive partial linear models

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Statistica Sinica

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Security price responses to unexpected earnings: a nonparametric investigation

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Statistical Methods & Applications

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A nonparametric analysis on the environmental Kuznets curve

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Environmetrics

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Estimation and variable selection for generalized additive partial linear models

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The Annals of Statistics

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Simultaneous confidence bands for time-series prediction function

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Journal of Nonparametric Statistics

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Single-index model-assisted estimation in survey sampling

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Journal of Nonparametric Statistics

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Spline estimation of single-index models

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Statistica Sinica

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Management effects on relationships of crop yields with topography represented by wetness index and precipitation

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Agronomy Journal

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Spline-backfitted kernel smoothing of nonlinear additive autoregression model

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The Annals of Statistics

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Strong uniform convergence of the recursive regression estimator under f-mixing conditions

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