Events

Please Note: This seminar will be given online.

Conditional inference after model selection

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Reducibility and Statistical-Computational Gaps from Secret Leakage.

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Bayesian Multiple Index Models for Multi-Pollutant Mixtures

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Predictive Models in Health Research

Lasso, Random Forests, and especially Deep Neural Networks are very popular in data science applications. Do they have a role in health research, and are they likely to replace more traditional statistical models? In this talk I will argue that it depends on the application, the amount of data available, and the purpose of the modeling, with some guidance from the "Occam's razor" principle.

Please Note: This seminar will be given online.

Local eigenvalue statistics of random matrices and Dyson Brownian motion

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Statistical inference for multiple network data

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Hypothesis Testing for Large-Scale Data: Enhancing Reliability and Efficiency

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Causal Inference Methods To Detect And Reduce Societal Inequalities In Data-Driven Applications

Please Note: This seminar will be given online.

Transparent and robust causal inference in data science

Please Note: This seminar will be given online.

Instrumental Variable Approaches to Individualized Treatment Regimes under Endogeneity