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
CRC Press
book
Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference
Journal of the American Statistical Association
journal-article
Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains
Journal of the American Statistical Association
journal-article
Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing
Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients
Journal of the American Statistical Association
journal-article
Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning
Journal of Computational and Graphical Statistics
journal-article
Two-year follow-up of dementia caregivers after a digital health intervention WECARE: a mixed-method study
Aging & Mental Health
journal-article
TSSS: a novel triangulated spherical spline smoothing for surface-based data
Journal of Nonparametric Statistics
journal-article
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models
Spatial Statistics
journal-article
Estimating 1 km gridded daily air temperature using a spatially varying coefficient model with sign preservation
Remote Sensing of Environment
journal-article
A global dataset of daily near-surface air temperature at 1-km resolution (2003–2020)
preprint
Nonparametric estimation and inference for spatiotemporal epidemic models
Journal of Nonparametric Statistics
journal-article
Spatiotemporal autoregressive partially linear varying coefficient models
Statistica Sinica
journal-article
Sparse learning and structure identification for ultrahigh-dimensional image-on-scalar regression
Journal of the American Statistical Association
journal-article
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing
Journal of Applied Statistics
journal-article
Modeling and forecasting COVID-19
Notices of the American Mathematical Society
journal-article
Generalized spatially varying coefficient models
Journal of Computational and Graphical Statistics
journal-article
Methods, challenges, and practical issues of COVID-19 projection: a data science perspective
Journal of Data Science
journal-article
Multivariate spline estimation and inference for image-on-scalar regression
Statistica Sinica
journal-article
Spatially varying coefficient models with sign preservation of the coefficient functions
Journal of Agricultural, Biological and Environmental Statistics
journal-article
Genetic factors of Alzheimer's disease modulate how diet is associated with long-term cognitive trajectories: a UK Biobank Study
Journal of Alzheimer's Disease
journal-article
Walking in the Light: How History of Physical Activity, Sunlight, and Vitamin D Account for Body Fat—A UK Biobank Study
Obesity
journal-article
Simultaneous confidence corridors for mean functions in functional data analysis of imaging data
Biometrics
journal-article
Spatial autoregressive partially linear varying coefficient models
Journal of Nonparametric Statistics
journal-article
Estimation and inference for generalized geoadditive models
Journal of the American Statistical Association
journal-article
Simultaneous confidence band for stationary covariance function of dense functional data
Journal of Multivariate Analysis
journal-article
Estimation and inference for functional linear regression models with partially varying regression coefficients
Stat
journal-article
Efficient estimation of partially linear models for data on complicated domains by bivariate penalized splines over triangulations
Statistica Sinica
journal-article
Sparse model identification and learning for ultra-high-dimensional additive partially linear models
Journal of Multivariate Analysis
journal-article
Aging-related changes in fluid intelligence, muscle and adipose mass, and sex-specific immunologic mediation: A longitudinal UK Biobank study
Brain, Behavior, and Immunity
journal-article
Sparse model identification and learning for ultra-high-dimensional additive partially linear models
Journal of Multivariate Analysis
journal-article
Variable selection for partially linear proportional hazards model with covariate measurement error
Journal of Nonparametric Statistics
journal-article
Additive partially linear models for ultra‐high‐dimensional regression
Stat
journal-article
Regional soil erosion assessment based on a sample survey and geostatistics
Hydrology and Earth System Sciences
journal-article
Estimation and inference in spatially varying coefficient models
Environmetrics
journal-article
Semi-parametric prediction intervals in small areas when auxiliary data are measured with error
Statistica Sinica
journal-article
Simultaneous inference for the mean of repeated functional data
Journal of Multivariate Analysis
journal-article
Simultaneous inference for the mean of repeated functional data
Journal of Multivariate Analysis
journal-article
Efficient estimation for generalized partially linear single-index models
Bernoulli
journal-article
Oracle-efficient confidence envelopes for covariance functions in dense functional data
Statistica Sinica
journal-article
Partially time-varying coefficient proportional hazards models with error-prone time-dependent covariates—an application to the AIDS Clinical Trial Group 175 data
The Annals of Applied Statistics
journal-article
Spline estimation and variable selection for single-index prediction models with diverging number of index parameters
Journal of Statistical Planning and Inference
journal-article
Variable selection and estimation for longitudinal survey data
Journal of Multivariate Analysis
journal-article
Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
The Annals of Statistics
journal-article
A simultaneous confidence corridor for varying coefficient regression with sparse functional data
Test
journal-article
Bivariate penalized splines for regression
Statistica Sinica
journal-article
Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data
Bernoulli
journal-article
Efficient semiparametric GARCH modeling of financial volatility
Statistica Sinica
journal-article
Spline confidence bands for functional derivatives
Journal of Statistical Planning and Inference
journal-article
Nonparametric additive model-assisted estimation for survey data
Journal of Multivariate Analysis
journal-article
Estimation and variable selection for semiparametric additive partial linear models
Statistica Sinica
journal-article
Security price responses to unexpected earnings: a nonparametric investigation
Statistical Methods & Applications
journal-article
A nonparametric analysis on the environmental Kuznets curve
Environmetrics
journal-article
Estimation and variable selection for generalized additive partial linear models
The Annals of Statistics
journal-article
Simultaneous confidence bands for time-series prediction function
Journal of Nonparametric Statistics
journal-article
Single-index model-assisted estimation in survey sampling
Journal of Nonparametric Statistics
journal-article
Spline estimation of single-index models
Statistica Sinica
journal-article
Management effects on relationships of crop yields with topography represented by wetness index and precipitation
Agronomy Journal
journal-article
Spline-backfitted kernel smoothing of nonlinear additive autoregression model
The Annals of Statistics
journal-article
Strong uniform convergence of the recursive regression estimator under f-mixing conditions