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Statistics Seminar

The Statistics seminar aims to cover topics from all areas of statistics both from a traditional perspective but also from a more data science perspective. The seminar is also offered as MATH 567, Seminar in Statistics, Section 01.

Location: Whitney 100E (See the directions to the department)
Time: Thursdays, from 1:15 pm to 2:40 pm
Organizer: Rakhi Singh

See also: Data Science Seminar and the Capstone Seminar.

Previous organizer(s): Qiqing Yu

Fall 2022

  • August 25th
    No seminar (Organization meeting)
  • September 1st
    No seminar
  • September 8th
    Speaker: Geran Zhao (Binghamton University)
    Title: StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
    Abstract
  • September 15th
    Speaker: Wenshu Dai (Binghamton University)
    Title: Zero-Inflated Gaussian mixed models for analyzing longitudinal microbiome data
    Abstract
  • September 22nd
    Speaker: Ming Yuan (Columbia)
    Title: Spectral Learning for High Dimensional Tensors
    Abstract
  • September 29th
    Speaker: Baozhen Wang (Binghamton University)
    Title: Predictive Inference with the Jackknife+
    Abstract
  • October 6th
    Speaker: Jingze Liu (Binghamton University)
    Title: Towards Deep Learning Models Resistant to Adversarial Attacks
    Abstract
  • October 13th
    Speaker: Wei Yang (Binghamton University)
    Title: Correlation Matrices with Random Matrix Theory
    Abstract
  • October 20th
    Fall Break
  • October 27th
    Speaker: Zhou Wang (Binghamton University)
    Title: Latent Outlier Exposure for Anomaly Detection with Contaminated Data
    Abstract
  • November 3rd
    Speaker: Zifan Huang (Binghamton University)
    Title: A Proper Selection Among Multiple Buckley-James Estimates
    Abstract
  • November 10th
    Speaker: Sumanta Basu (Cornell University)
    Title: Graphical Models for Stationary Time Series
    Abstract
  • November 17th
    Speaker: Brandon Stewart (Princeton University)
    Title: How to make Causal Inferences using Texts
    Abstract
  • November 24th
    Thanksgiving Break
  • December 1st
    Speaker: Yangsheng Wang (Binghamton University)
    Title: Manifold Data Analysis with Applications to High-Frequency 3D Imaging
    Abstract
  • December 8th
    Speaker: Xinhai Zhang (Binghamton University)
    Title: Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
    Abstract
seminars/stat.txt · Last modified: 2022/11/20 20:22 by rakhi