Organizer: Takumi Saegusa
When: Thursdays @ 3:30pm
Where: CSIC 4122

Archives: F2010-S2011 | F2011-S2012 | F2012-S2013 | F2013-S2014 | F2014-S2015 | F2015-S2016 | F2016-S2017 | F2017-S2018 | F2018-S2019 | F2019-S2020 | F2020-S2021 | F2021-S2022

  • The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks

    Speaker: Vincent Lyzinski (UMD) -

    When: Thu, September 9, 2021 - 3:30pm
    Where: Kirwan Hall 1308
  • Probabilistic Record Linkage in Data Integration

    Speaker: Takumi Saegusa (UMD) -

    When: Thu, September 23, 2021 - 3:30pm
    Where: Kirwan Hall 1308
  • Extended Residual Coherence with a Financial Application

    Speaker: Xuze Zhang (UMD) -

    When: Thu, September 30, 2021 - 3:30pm
    Where: Kirwan Hall 1308
  • Dynamic frequency band analysis for nonstationary functional time series

    Speaker: Pramita Bagchi (George Mason University) -

    When: Thu, October 7, 2021 - 3:30pm
    Where: Room 4122, CSIC Building
  • Orthogonal Subsampling for Big Data Linear Regression

    Speaker: Lin Wang (George Washington University) -

    When: Thu, October 14, 2021 - 3:30pm
    Where: CSIC 4122
  • Big Spatial Data Learning: a Parallel Solution

    Speaker: Lily Wang (George Mason University) -

    When: Thu, October 21, 2021 - 3:30pm
    Where: CSIC 4122
  • Novel variable screening methods for omics data integration

    Speaker: Tianzhou Ma (UMD (EPIB)) -

    When: Thu, October 28, 2021 - 3:30pm
    Where: CSIC 4122
  • Dual Principal Component Pursuit

    Speaker: Rene Vidal (Johns Hopkins University) -

    When: Thu, November 4, 2021 - 3:30pm
    Where: CSIC 4122
  • Jump Q-Learning for Optimal Interval-Values Treatment Decision Rule

    Speaker: Wenbin Lu (North Carolina State University) - https://www4.stat.ncsu.edu/~lu/

    When: Thu, November 11, 2021 - 3:00pm
    Where: CSIC 4122
  • Qualitative Insights from Social Media Data

    Speaker: Robyn Ferg (Westat) -

    When: Thu, November 18, 2021 - 3:30pm
    Where: CSIC 4122
  • Bayesian wavelet-packet historical functional linear models

    Speaker: Mark Meyer (Georgetown University) -

    When: Thu, February 10, 2022 - 3:30pm
    Where: Kirwan Hall 1313
  • Understanding bias in microbiome sequencing studies and ways to address it

    Speaker: Ni Zhao (Johns Hopkins University ) - https://www.biostat.jhsph.edu/~nzhao/

    When: Thu, February 24, 2022 - 3:30pm
    Where: Kirwan Hall 1313
  • Bayesian sparse regression for large-scale observational health data

    Speaker: Akihiko Nishimura (Johns Hopkins University) - https://aki-nishimura.github.io

    When: Thu, March 17, 2022 - 3:30pm
    Where: Kirwan Hall 1313
  • Weight Calibration to Improve Efficiency for Estimating Absolute Risks from Nested Case-control Design

    Speaker: Yei Eun Shin (National Cancer Institute) -

    When: Thu, April 7, 2022 - 3:30pm
    Where: Kirwan Hall 1313
  • Applying constrained estimation in complex surveys

    Speaker: Jean Opsomer (Westat) -

    When: Thu, April 21, 2022 - 3:30pm
    Where: Kirwan Hall 1313
  • Three different ideas for model and feature selection for large or complex data

    Speaker: Jiayang Sun (George Mason University ) - https://mason.gmu.edu/~jsun21/

    When: Thu, April 28, 2022 - 3:30pm
    Where: Kirwan Hall 1313
  • Conditional distributions of pattern statistics and other inferential procedures in states of hidden sparse Markov models

    Speaker: Donald Eugene Kemp Martin (North Carolina State University) -

    When: Thu, May 5, 2022 - 3:30pm
    Where: Kirwan Hall 1313