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 1:30 pm to 2:30 pm
Organizers: Minjie Wang and Pratik Misra

See also: Data Science Seminar and the Capstone Seminar.

• January 29
  Speaker: Bahareh Baharinezhad (Binghamton University)
  Title: A case study in option trading
  Abstract

• February 12
  Speaker: Nils Sturma (EPFL)
  Title: Matching criterion for identifiability in sparse factor analysis
  Abstract

• February 26
  Speaker: Andrés Felipe Barrientos (Florida State University)
  Title: Bayesian nonparametric modeling of mixed-type bounded data
  Abstract

• March 5
  Speaker: Aliu Adebiyi (Binghamton University)
  Title: Bayesian hierarchical pathway-structured model for RNA-seq differential expression
  Abstract

• March 12
  Speaker: Samruddhi Abhay Thakar (Binghamton University)
  Title: Adaptive functional principal components analysis
  Abstract

• March 19
  Speaker: Ruobin Gong (Rutgers University)
  Title: Privacy differentials in differential privacy
  Abstract

• March 24
  Speaker: Zifan Huang (Binghamton University)
  Title: From roots to strict zero crossings: developing a well-posed definition of the Buckley-James estimator
  Abstract

• March 26
  Speaker: Roman Semenko (Binghamton University)
  Title: Reasoning under uncertainty: Dempster–Shafer theory and algorithmic approaches to belief updating
  Abstract

• April 9
  Speaker: Yiyi Cao (Binghamton University)
  Title: Bridging empirical auditing and theoretical privacy guarantees - toward robust and interpretable privacy evaluation in modern machine learning
  Abstract

• April 10
  Speaker: Alex Markham (University of Copenhagen)
  Title: Coarsening causal DAG models
  Abstract

• April 16
  Speaker: Zhongyuan Zhao (Binghamton University)
  Title: On the quasi-stationary distribution of the Shiryaev–Roberts recurrence driven by exponential data
  Abstract

• April 23
  Speaker: Yangsheng Wang (Binghamton University)
  Title: Functional autoencoder for smoothing and representation learning
  Abstract

• April 30
  Speaker: Maryclare Griffin (UMass Amherst)
  Title: Not there yet: practical stopping criteria for MCMC with many chains
  Abstract

• May 7
  Speaker: Geran Zhao (Binghamton University)
  Title: Deep canonical correlation analysis
  Abstract

• August 28
  Speaker: Pratik Misra (Binghamton University)
  Title: Structural identifiability and causal discovery in Gaussian graphical models
  Abstract

• September 18
  Speaker: Zehang Richard Li (UC Santa Cruz)
  Title: Robust cause-of-death assignment using verbal autopsies
  Abstract

• September 25
  Speaker: Bryon Aragam (University of Chicago)
  Title: Bridging causality and deep learning with causal generative models
  Abstract

• October 9
  Speaker: Katherine Grzesik (University of Rochester)
  Title: Adapting graduate-level statistics coursework for the undergraduate statistics major
  Abstract

• October 16
  Speaker: Samuel Wang (Cornell University)
  Title: Confidence sets for causal orderings
  Abstract

• October 30
  Speaker: Mathias Drton (Technical University of Munich)
  Title: Causal modeling with stationary processes
  Abstract

• November 6
  Speaker: Harrison Quick (University of Minnesota)
  Title: Reliable rates in disease mapping
  Abstract

• November 13
  Speaker: David Collins (Binghamton University)
  Title: Bayesian D-optimal design of experiments with quantitative and qualitative responses
  Abstract

• November 20
  Speaker: Bruce Phillips (Binghamton University)
  Title: Subdata selection for Principal Component Analysis
  Abstract

• December 4
  Speaker: Sanvesh Srivastava (University of Iowa)
  Title: Bayesian compressed mixed-effects models
  Abstract

• March 6
  Speaker: Yushu Shi (Weill Cornell Medicine)
  Title: CAT: A conditional association test for microbiome data using a permutation approach
  Abstract
• March 20
  Speaker: Praveen Niranda (Internal)
  Title: Network Reconstruction Using Nonparametric Additive ODE Models
  Abstract
• March 27
  Speaker: Jonathan Stallrich (NC State)
  Title: Optimal Designs for Two-Stage Inference
  Abstract
• April 3
  Zoom presentation only
  Speaker: Rumi Chunara (NYU)
  Title: A Multi-level Perspective for Navigating the Intersection of Data and Public Health
  Abstract
• April 10
  Speaker: Tanzy Love (University of Rochester)
  Title: TBD
  Abstract
• April 17
  ABD Exam presentation
  Speaker: Zhongyuan Zhao (Internal)
  Title: On Optimality of the Shiryaev-Roberts Change-Point Detection Method in the Exponential Case
  Abstract
• April 24
  Speaker: Bruce Phillips (Internal)
  Title: Data Twinning
  Abstract
• May 1
  Speaker: Xinhai Zhang (Internal)
  Title: Neural Network Models in CATE Estimation
  Abstract

• Fall 2024
• Spring 2024
• Fall 2023
• Spring 2023
• Fall 2022
• Spring 2022
• Fall 2021
• Spring 2021
• Fall 2020
• Spring 2020
• Fall 2019
• Spring 2019
• Fall 2018
• Spring 2018
• Fall 2017
• Spring 2017
• Fall 2016
• Summer 2016
• Spring 2016
• Fall 2015
• Spring 2015
• Fall 2014