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113 Mon, 8/9/2021, 1:30 PM - 3:20 PM Virtual
Nonlinear and Nonstationary Dependent Processes: Modeling, Inference, and Applications — Invited Papers
Business and Economic Statistics Section, IMS, International Indian Statistical Association
Organizer(s): Soumendra Lahiri, Washington University
Chair(s): Soutir Bandyopadhyay, Colorado School of Mines
1:35 PM Inference and Prediction for Quadratic Processes
Tucker Sprague McElroy, US Census Bureau; Dhrubajyoti Ghosh, Washington University; Soumendra Lahiri, Washington University
2:00 PM Polyspectral Mean Estimation of General Nonlinear Processes
Dhrubajyoti Ghosh, Washington University; Tucker Sprague McElroy, US Census Bureau; Soumendra Lahiri, Washington University
2:25 PM A Bayesian Framework for Modeling Outliers in Time Series in Post COVID-19 Era
Anindya Roy, U.S. Census Bureau/ UMBC; Tucker Sprague McElroy, US Census Bureau
2:50 PM Locally Stationary Spatial Processes
Soumendra Lahiri, Washington University; Tucker Sprague McElroy, US Census Bureau; Daniel Census Weinberg, US Census Bureau
3:15 PM Floor Discussion