Stochastic Modeling and Computational Statistics

Fall 2023

SMAC talks are held each Friday during fall and spring semesters from 10:10 AM to 11:00 AM in 327 Thomas Building and on Zoom. Talks last 40 minutes, with time for clarification questions. The last 10 minutes are for open-ended discussion.

The general guidelines for each talk:

40 minutes for each talk + 10 minutes for discussion.
The talk should be accessible to all grad students who have completed 1 year of the program.
Informal style. For instance, chalk and blackboard talks are welcome.
Interruptions during the talk are welcome but they should only be for clarifications; longer questions are to be left to the discussion period.
Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.
While a large proportion of the talks may be related to stochastic modeling and computing, a much broader list of topics have also been discussed in this series.

Date	Speaker	Title
9/1/23	Anirudh Subramanyam	Optimization with Rare Events
9/8/23	Stephen Berg	Statistical and computational aspects of shape-constrained inference for covariance function estimation
9/15/23	Jingyuan Liu	A Generalized Knockoff Procedure for FDR Control in Structural Change Detection
9/22/23	Omar Hagrass	Spectral Regularized Kernel Goodness-of-Fit Tests
9/29/23	Jacopo Iorio	Two new biclustering-inspired FDA methods.
10/6/23	Wei Zhong	Estimation and Inference for Multi-Kink Quantile Regression
10/13/23	Murali Haran	The Intractable Normalizing Function Problem
10/27/23	Cornelius Fritz	A Scalable Statistical Platform for Learning from Discrete and Dependent Attribute and Network Data Generalizing GLMs
11/10/23	Satarupa Bhattacharjee	Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects
11/17/23	Benjamin Roycraft	Feature Generating Models: Inference in Purely High Dimensions

A look back at previous SMAC TALKS.