Statistics Department

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

  • Speaker Brian Trippe

    Statistics Seminar: Calibration Methods for Generative Models with Application to Protein Structure Modeling

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA

    Presenter: Brian Trippe, Assistant Professor, Stanford University, Department of Statistics Description: Generative models frequently suffer miscalibration, where the statistics of their generations deviate from desired values. Protein structure diffusion models, for example, produce highly realistic samples but often underestimate the probabilities of important modes. These deviations are not addressed by existing fine-tuning methods for image […]

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    Statistics Seminar: Sliced Optimal Transport: From Acceleration to Bayesian Modeling

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA

    Presenter: Enter the speaker’s name, title, and institution at the top of the event Description: Optimal transport (OT) provides a principled way to match, compare, and interpolate distributions, but its computational cost limits its use at realistic scales. I will present our recent work on reducing that cost and on using OT for statistical modeling […]

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    Statistics Seminar: Evolutionary Analysis of Biobank-Scale Data to Study Population History, Mutation Rates, Natural Selection, and the Genetics of Complex Traits

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA

    Presenter: Joshua Schraiber, Research Scientist, University of Southern California and Cornell University Description: The advent of biobank data has presented an unprecedented opportunity to understand the evolutionary history of the human species. By collecting genotype data from hundreds of thousands of individuals, we can look closely at recent evolutionary history, including recent demography, mutation rates, […]

  • Seminar speaker: Edric Tam

    Statistics Seminar: Randomization Posteriors and Generalized Bayesian Inference

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA

    Presenter: Edric Tam, Warren Alpert Fellow in AI and Computational Biology, Department of Biomedical Data Science, Stanford University Description: A longstanding question in Bayesian analysis concerns the role of randomization. We introduce randomization posteriors, a class of generalized Bayesian updates obtained by averaging over an auxiliary randomization law. A particularly relevant instance assigns random weights […]

  • Speaker Rafael Cabral

    Statistics Seminar: Robustness, Model Checking and Hierarchical Models

    Jack Baskin Engineering Baskin Engineering 1156 High Street, Santa Cruz, CA

    Presenter: Rafael Cabral, Member of Technical Staff, Axiom Math Description: Latent Gaussian models (LGMs) are among the most widely used classes of statistical models, with applications ranging from biostatistics to spatial modeling. Their central assumption, that the latent variables are Gaussian, is nevertheless rarely checked. Many datasets contain sudden jumps or local spikes that a […]