Chan, Serena: Biostatistics, clinical trials methodology, and data security.
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Chatterjee, Sabyasachi: Nonparametric signal estimation, Shape constrained estimation, e.g., monotonicity, convexity, unimodality, and statistical Information theory.
MathSciNet MR Author ID: 1113285 | Scopus Author ID: 56337969200
Chen, Xiaohui: High-dimensional and nonparametric statistics,time series analysis, and machine learning and signal processing.
MathSciNet MR Author ID: 933055 | Scopus Author ID: 35239533200
Chen, Yuguo: Monte Carlo theory and methodology and their applications to scientific problems, statistical inference on network data, state space models and dynamic systems, and bioinformatics and population genetics.
MathSciNet MR Author ID: 758864 | Scopus Author ID: 35434679800
Alfred Chong: optimal insurance and reinsurance designs, premium principles and risk measures, indifference pricing and valuation, stochastic control and backward stochastic differential equations, optimal investment and forward performance preferences.
MathSciNet MR Author ID: 1125837 | Scopus Author ID: 56673681100
Culpepper, Steven: Psychometric models, latent class models, large-scale testing and assessment, and statistical computing.
MathSciNet MR Author ID: 970768 | Scopus Author ID: 35095902600
Douglas, Jeffrey: Psychometrics, latent variable models, multivariate categorical data analysis.
MathSciNet MR Author ID: 617392 | Scopus Author ID: 7403213236
Eddelbuettel, Dirk
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Fellouris, Georgios: Sequential hypothesis testing, quickest change detection, sequential parameter estimation, sequential design, decision making under communication constraints, educational measurement and cognitive assessment.
MathSciNet MR Author ID: 934609 | Scopus Author ID: 25654777700
Fireman, Ellen: Active learning methods for undergraduate statistics instruction, web-based class survey methods, online education.
Flanagan, Karle
Glosemeyer, Darren: Statistical computing and visualization, use of software in statistics education, simulation methods.
Lei (Larry) Hua: Multivariate dependence modeling, copula, tail dependence, statistical and machine learning methods for financial and insurance data
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Kinson, Christopher
Lan, Shiwei: Scalable statistical inference, Bayesian nonparametric modeling, uncertainty quantification.
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Lee, Hyoeun
Li, Bo: Spatio-temporal modeling, Bayesian hierarchical modeling, large-scale data in climatology, atmospheric and environmental science, public health studies including childhood cancer and human morbidity.
MathSciNet MR Author ID: 830449 | Scopus Author ID: 55698719300
Liang, Feng: Bayesian methods, decision theory, information theory, minimum description length principle, data mining.
MathSciNet MR Author ID: 746079 | Scopus Author ID: 35748883800
Linville, Charles D.:
Narisetty, Naveen: High dimensional data, model selection, Bayesian computation, functional data, quantile-based Inference, censored data, data depth.
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Park, Trevor: Multivariate exploratory methods, covariance modeling, optimization methods, Bayesian lasso.
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Qu, Annie: Machine learning, medical imaging, recommender systems, natural language processing, network data, personalized medicine, longitudinal/correlated data analysis, missing data, high-dimensional data, model selection, nonparametric models, biostatistics.
MathSciNet MR Author ID: 674247 | Scopus Author ID: 7004821021
Ravat, Uma: Stochastic optimization, variational inequalities.
MathSciNet MR Author ID: 952774 | Scopus Author ID: 36549143100
Shao, Xiaofeng: Long memory and nonlinear time series, spatial statistics, spectral analysis, environmental statistics, econometrics, functional data analysis, high dimensional data analysis, resampling methods, time series analysis, applications in atmospheric science, economics, finance and neuroscience.
MathSciNet MR Author ID: 733734 | Scopus Author ID: 18838394000
Simpson, Douglas: Applied and computational statistics, biostatistics and bioinformatics, robust and semiparametric statistical methods, high-dimensional data, quantitative image analysis.
MathSciNet MR Author ID: 243602 | Scopus Author ID: 7402415298
Stepanov, Alexey: Stochastic processes, financial modeling, actuarial analysis.
Unger, David: Pedagogy of introductory statistics using statistical software, effective use of educational technology, development of blended and online courses, mixture models, Bayesian-inference clustering, and multivariate analysis.
Statistical/mathematical methods, machine learning and data mining, signal and imaging processing, computation, and analysis, quantitative and cognitive psychology, precision medicine.
MathSciNet MR Author ID: 856772 | Scopus Author ID: 35749087000
Yang, Yun: Machine learning, scalable Bayes inference and theoretical foundations of high dimensional problems.
Zhao, Sihai Dave: Statistical genomics, high-dimensional statistics, survival analysis.
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Zhu, Ruoqing: Tree-based methods, personalized medicine, survival analysis, sufficient dimension reduction, high-dimensional data cancer genetics/genomics.
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