Colloquium Videos

The links will be live as soon as the videos are available.

Beyond Gaussian Approximation: Bootstrap Methods for Maxima of Sums, Hang Deng, Rutgers University (12/11/20)

Hypothesis Testing for Large-Scale Data: Enhancing Reliability and Efficiency, Yinqiu He, University of Michigan (12/16/20)

Transparent and robust causal inferences in data science, Carlos Cinelli, UCLA (12/17/20)

A few recovery problems from noisy observations, Xiaoqian (Dana) Yang, Duke University (12/18/20)

Astronomical instrument calibration with mean-variance coupled models, Yang Chen, University of Michigan (12/21/20)

Statistical inference for multiple network data, Jesus Arroyo, University of Maryland (01/08/21)

Instrumental Variable Approaches to Individualized Treatment Regimes under Endogeneity, Yifan Cui, University of Pennsylvania (01/11/21)

Power Enhancement in High-Dimensional Hypothesis Testing, Xiufan Yu, Penn State University (01/12/21)

Frequentist Validation of Bayesian Uncertainty Quantification, Subhashis Ghoshal, North Carolina State University (01/14/21)

Big Data: A Perspective from Statistical Foundation of Data Science, Tapabrata Maiti, Michigan State University (01/15/21)

Integrating computational physics and numerical optimization to address challenges in science, engineering, and medicine, Matthew Zahr, University of Notre Dame (04/05/21)

A functional data analysis study of stratospheric ozone trends, and ozonesonde measurement biases, Wendy Meiring, University of California, Santa Barbara (04/12/21)

Inferring Biological Functions with Explainable Algorithms, Amirali Aghazadeh, University of California, Berkeley (04/19/21)


Video access is restricted to members of the ACMS Department.