Results for "statistics"

Findley's research and teaching address civil wars, terrorism, and development. He uses field experiments, statistical and computational models, and some interviews. He conducts ongoing fieldwork in Uganda,…

Mueller’s areas of expertise include the development and analysis of simulation-based methods for Bayesian inference, including posterior inference and design, and applications in biostatistics and bioinformatics.…

Our laboratory is broadly is interested in problems at the intersection of Computer Science, Genomics and Statistics. In particular we develop scalable and efficient methods to make sense of complex, large-scale…

Olmstead is the health economist on several large grants funded by the National Institutes of Health in the area of behavioral health. Current research projects include estimating the cost-effectiveness of:
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Evaluation Research
Women/Minorities in STEM
Gender
Education

- Formalizing heuristics and algorithms that has been empirically shown to work well in practice.

- Scalable parametric and nonparametric models for dynamic networks.

- Using the nonparametric…

Nonparametric Bayesian methods for use in machine learning applications
Distributions over collections of measures indexed by values in some covariate space

Bayesian statistics
Machine learning
Developing statistical theory and methods, hierarchical models, and efficient Bayesian inference for big data
Development of nonparametric Bayesian priors for both…