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Activity Details
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
