Submitted by acf199 on Thu, 09/02/2021 - 11:42

Bayesian Statistics

Bayesian methods have become extremely valuable in scientific research over the past three decades as new computer algorithms (Markov chain Monte Carlo, variational inference, and other approximations) and vast technological improvements in computing have allowed hierarchical Bayesian models to be fit to complex data. Bayesian methods are particularly well suited to combining data from multiple sources, while appropriately accounting for uncertainties throughout the analysis.

Penn State Statistics has several faculty who work on developing Bayesian methods for solving challenging problems. Examples of interdisciplinary research applications for which our faculty are developing Bayesian methods include neuroscience (Nicole Lazar), network models for social science and public health (Maggie Niu), astronomy (Hyungsuk Tak), ecology and disease modeling (Ephraim Hanks and Murali Haran), and statistical genetics/genomics (Xiang Zhu and Justin Silverman).

Faculty

Professor

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Interests:

Bayesian Models, Statistical Computing, Small Area Estimation, Diagnostics for Complicated Statistical Models, Applications in Public Health and Social Sciences

Assistant Professor of Statistics

Email:

sqb6128@psu.edu

Phone:

Interests:

Spatial Statistics, Computational Statistics, Environmental Statistics

Teaching Professor of Statistics

Email:

meb6971@psu.edu

Professor of Marketing and Statistics

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Phone:

Interests:

Marketing Research, Marketing Analytics, Bayesian Analysis, Operations & Supply Chain Management

Associate Professor

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Interests:

Spatio-Temporal Statistics, Applications to Ecology and Epidemiology

Professor and Department Head

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Interests:

Computational Statistics, Spatial Models, Applications to Climate and Infectious Diseases

Professor of Statistics; Director of Online Programs

Email:

nfl5182@psu.edu

Associate Professor, Director of the Statistical Consulting Center

Email:

xiaoyue@psu.edu

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Interests:

Bayesian Statistics, Latent Variable Models, Multivariate Analysis, Network Models

Assistant Professor of Information Science & Technology and Statistics

Email:

jds6696@psu.edu

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Interests:

Biomedical Analysis, Genomics, Machine Learning

Assistant Professor and ICDS Co-Hire

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Phone:

Interests:

Astrostatistics, Statistical Computation, Bayesian Methods

Assistant Professor

Email:

xkz5224@psu.edu

Phone:

Interests:

Bayesian Statistics, Statistical Genetics and Genomics, Computational Statistics