Browse Research by Faculty Name
Filtered by Department: Statistics and Scientific Computation
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Displaying 71 - 80 of 80 records.
|Vishwanath, Sriram||Electrical and Computer Engineering; South Asia Institute; Statistics and Scientific Computation||Information theory, Wireless communications, Coding theory|
|Viswanathan, Bindu||Statistics and Scientific Computation|
|Walker, Stephen||Mathematics; Statistics and Scientific Computation||Bayesian parametric and nonparametric methods with applications in medical statistics|
|Wheeler, Mary||Aerospace Engineering and Engineering Mechanics; Mathematics; Petroleum and Geosystems Engineering; Statistics and Scientific Computation||Primary research interest is in the numerical solutions of partial differential systems with applications to flow in porous media, geomechanics, surface flow, and parallel computation. Her numerical …|
|Whittaker, Tiffany||Educational Psychology; Statistics and Scientific Computation||The evaluation of statistical procedures under various simulated conditions; structural equation modeling; multilevel modeling; psychometrics.|
|Wilcox, Gary||Advertising; Statistics and Scientific Computation||Alcohol advertising and interactive advertising|
|Wilke, Claus||School of Biological Sciences; Section of Integrative Biology; Statistics and Scientific Computation||Dr. Wilke works in the areas of computational and theoretical biology. HIs research can be broadly subdivided into three areas: (1) molecular evolution, (2) evolution of RNA viruses, (3) theoretical …|
|Williamson, Sinead||Information, Risk and Operations Management; Statistics and Scientific Computation||Nonparametric Bayesian methods for use in machine learning applications Distributions over collections of measures indexed by values in some covariate space|
|Wilson, Lucas||Statistics and Scientific Computation|
|Zhou, Mingyuan||Information, Risk and Operations Management; Statistics and Scientific Computation||Bayesian statistics Machine learning Developing statistical theory and methods, hierarchical models, and efficient Bayesian inference for big data Development of nonparametric Bayesian priors for …|