As is typical with AISC conferences, we will feature special sessions covering a variety of contemporary topics such as Causal Inference, Design of Experiments, Survey Sampling, High Dimensional Data Analysis, Big Data, Data Science/Machine Learning, Deep Learning, Bayesian Statistics, Time Series Forecasting, Topological Data Analysis, Functional Data Analysis, Distribution Theory, Survival Analysis, Statistical Ecology, and Statistical Consulting.
Another important objective of the conference is to groom young researchers by providing them an opportunity to interact with established researchers in their respective fields. With this in mind, there will be several sessions focusing on undergraduate Research.
(Please Note: AISC 2022 is intended to be an in-person conference but we will switch to a virtual or a hybrid conference if an in-person conference will present health risks.)
Wendy Martinez, (ASA President 2020, Bureau of Labor Statistics)
Srinivasa Varadhan, (NYU, Courant Institute)
Richard Davis, (Columbia University)
Bobby Gramacy, (Virginia Tech)
Eiren Jacobson, (Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK)
Karen Kafadar, (ASA President 2019, University of Virginia)
Regina Liu, (Rutgers University)
Jerry Reiter, (Duke University)
View the complete program at the conference website!