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Statistics Department

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The Statistics Department at the Baskin School of Engineering has a strong reputation in research and graduate education. Faculty expertise include Bayesian methods, dependent data modeling, machine learning and optimization, data science, and applied statistics. Statistics faculty include four fellows of the American Statistical Association (ASA) and two fellows of the International Society for Bayesian Analysis (ISBA)—several have held leadership roles in both organizations. Graduates of the Statistics Ph.D. program have earned awards for their research and gone on to careers in industry, government, and academia.

Events from this organizer

Today
  • September 2026

  • Tue 1
    Close-up abstract image of a circuit board with glowing lines and interconnected pathways.

    Shen, J. (STAT) – Bayesian Modeling and Uncertainty Quantification for Verbal Autopsy Data

    September 1 @ 9:00 am – 11:00 am
    Virtual Event

    Verbal autopsy (VA) is a well developed tool to collect information describing deaths outside of hospitals by conducting surveys to the relatives and caregivers of the deceased person. It is […]

  • Wed 9
    Abstract digital illustration featuring gears and interconnected technology elements.

    Chen, Y. (STAT) – Flexible Bayesian Models for High-Dimensional and Longitudinal Discrete Data in Microbiome Studies

    September 9 @ 10:00 am – 12:00 pm
    Virtual Event

    Multivariate dependent discrete data routinely arise in microbiome studies. Analyzing these data presents interesting statistical challenges, such as high dimensionality, excess zeros, large heterogeneity across samples, and temporal dependence in longitudinal studies. Drawing inferences about objects of primary scientific interest—such as temporal trajectories of microbial abundance, microbial interactions, clusters of microbes similarly associated with environmental […]

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Last modified: Dec 09, 2025