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 and Yuan Fang

See also: Data Science Seminar and the Capstone Seminar.

Previous organizer(s): Qiqing Yu

• Febuary 20
  Speaker: TBD (hold for internal speakers)
  Title: TBD
  Abstract
• Febuary 27
  Speaker: TBD (hold for internal speakers)
  Title: TBD
  Abstract
• March 6
  Speaker: TBD
  Title: TBD
  Abstract
• March 20
  Speaker: TBD (hold for internal speakers)
  Title: TBD
  Abstract
• March 27
  Speaker: Jonathan Stallrich (NC State)
  Title: TBD
  Abstract
• April 3
  Zoom presentation only
  Speaker: Rumi Chunara (NYU)
  Title: TBD
  Abstract
• April 10
  Speaker: Tanzy Love (University of Rochester)
  Title: TBD
  Abstract
• April 17
  ABD Exam presentation
  Speaker: Zhongyuan Zhao (Internal)
  Title: TBD
  Abstract
• April 24
  ABD Exam presentation
  Speaker: Bruce Phillips (Internal)
  Title: TBD
  Abstract
• May 1
  Speaker: TBD (hold for ABD/defense)
  Title: TBD
  Abstract

• September 5
  Speaker: David Collins (internal)
  Title: Nonconcave Penalized Likelihood With NP-Dimensionality
  Abstract

• September 12
  Speaker: Bahareh Baharinezhad (internal)
  Title: Revenge of the stock pickers
  Abstract

• September 19
  Speaker: Dan Kowal (Cornell)
  Title: Monte Carlo inference for semiparametric Bayesian regression
  Abstract

• October 10
  Speaker: Yangsheng Wang (internal)
  Title: A framework for analysing longitudinal data involving time-varying covariates
  Abstract

• October 17
  Speaker: Samruddhi Thakar (internal)
  Title: Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests.
  Abstract

• October 24
  Speaker: Giles Hooker (University of Pennsylvania)
  Title: Trees and V's: Inference for Ensemble Models
  Abstract

• October 31
  Speaker: Geran Zhao (internal)
  Title: DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
  Abstract

• November 7
  Speaker: Zifan Huang (internal)
  Title: The Buckley–James Estimator and Induced Smoothing
  Abstract

• November 21
  Speaker: Xinwei Deng (Virginia Tech)
  Title: Quantity Matters, Order Matters: Statistical Learning of Data with Quantitative-Sequence Inputs
  Abstract

• December 5
  Speaker: Baozhen Wang (internal)
  Title: Conformal Prediction Methods for Distribution Shifts and Causal Effect Estimation
  Abstract