Public Lecture Series
Public Lecture Series Video Archive
Our faculty and students work on statistical methodology, a subject that spans mathematics, philosophy, and computing, and impacts many areas of science, engineering, and business. Our department is also heavily involved in interdisciplinary research, where we work closely with scientists in fields like biology, astronomy, climate science, and social science. The purpose of this Department of Statistics public lecture series is to share our diverse research and statistical insights with as broad an audience as possible. This is particularly critical now given the enormous importance of statistics and data science to society.
2025
Causal Learning in the Interconnected and Interdependent World of the 21st Century
2024
Keystone State Statistics Symposium
2023
What can shapes teach us? Leveraging functional data in biomedical applications
2022
My Statistical Consulting Project was Declared Unconstitutional– And I’m Partly Glad
Distinguished Lectures
Past Lectures
| Year | Presenter | Lecture Title |
|---|---|---|
| March 2024 | Bharath Sriperumbudur | A Kernel Hike in the Machine Learning Forest |
| October 2023 | Yanyuan Ma | Causal Inference and Missingness (from the Keystone State Statistics Symposium) |
| September 2023 | Francesca Chiaromonte | What Can Shapes Teach Us? Leveraging Functional Data in Biomedical Applications |
| March 2023 | Bing Li | Sufficiency | A Brief History of Data Reduction |
| October 2022 | Dave Hunter | My Statistical Consulting Project was Declared Unconstitutional– And I’m Partly Glad |