53:35

Nathaniel O’Connell: A Comparison of Methods of Cross-Validation for Small Data

1:05:53

Andrew Gelman: Learning from mistakes

57:29

Emmanuel Candès: Statistical methods for assessing the factual accuracy of large language models

59:20

Weijie Su: How Statistics Can Advance Large Language Models: Fairness Alignment and Watermarking

1:07:10

Bikram Karmakar: A new paradigm for causal inference in the presence of unmeasured confounders

1:08:17

Hypothesis testing (ALL YOU NEED TO KNOW!)

1:03:52

Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection

50:22

Rui Song: On causal decision making