Past Events

  • 2017 Jan 31

    Seminar: Rajarshi Mukherjee

    12:00pm to 1:00pm

    Location: 

    Science Center Rm. 705

    Sparse Signal Detection with Binary Outcomes

    In this talk, I will discuss three examples of sparse signal detection problems in the context of binary outcomes. These will be motivated by examples from next generation sequencing association studies, understanding heterogeneities in large scale networks, and exploring opinion distributions over networks. Moreover, these three examples will serve as templates to explore interesting phase transitions present in such studies. In particular, these phase transitions will be aimed at revealing a difference between studies with possibly...

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  • 2017 Jan 30

    Colloq: Alexander (Sasha) Rakhlin

    4:15pm to 5:15pm

    Location: 

    Science Center Hall E

    An Optimal Aggregation Procedure For Nonparametric Regression

    How can one combine a collection of estimators of a regression function into a good aggregate? In the last 15 years, this age-old question has received increasing attention within the Mathematical Statistics community. A closely related question of regression in misspecified models has been studied within Statistical Learning using the techniques of empirical processes. We outline the shortcomings of...

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  • 2017 Jan 26

    Seminar: Edgar Dobriban

    12:00pm to 1:00pm

    Location: 

    Science Center Rm. 705

    ePCA: Exponential family PCA

    Many applications, such as photon-limited imaging and genomics, involve large datasets with entries from exponential family distributions. It is of interest to estimate the covariance structure and principal components of the noiseless distribution. Principal Component Analysis (PCA), the standard method for this setting, can be inefficient for non-Gaussian noise. In this talk we present ePCA, a methodology for PCA on exponential family distributions. ePCA involves the eigendecomposition of a new covariance matrix estimator, constructed in a...

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  • 2017 Jan 23

    Colloq: Alan Zaslavsky

    4:15pm to 5:15pm

    Location: 

    Science Center Rm. 300H

    Multilevel covariance modeling of multivariate measures on grouped data

    Factor analysis is a popular tool for identifying and summarizing associations among multiple measures. When measures on organizations, areas, or similar higher-level units are obtained by summarizing data from groups of individuals, associations at the group level are often of primary interest while those at the individual level might not even be meaningfully defined. These data structures can...

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  • 2016 Dec 13

    STAT 300: Zach Branson and Maxime Rischard

    12:00pm to 1:00pm

    Location: 

    Science Center Rm. 705

    "A Nonparametric Bayesian Methodology for Regression Discontinuity Designs," by Zach Branson

    TBD by Maxime Rischard

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