Name: 2022 Joint Statistical Meetings
Start: 2022-08-06T07:00:00+00:00
End: 2022-08-11
Location: Walter E. Washington Convention Center

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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme

Activity Details

7 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-144B
Advances in Multivariate Spatial Process Modeling for Environmental Data — Invited Papers
Section on Statistics and the Environment, Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Will Kleiber, University of Colorado; Pulong Ma, Clemson University
Chair(s): Pulong Ma, Clemson University
2:05 PM	Bayesian Global Flux-Inversion of Carbon Dioxide Fluxes via Multivariate Models Constructed Through Conditioning Presentation Andrew Zammit Mangion, University of Wollongong; Michael Bertolacci, University of Wollongong; Noel Cressie, University of Wollongong; Jenny Fisher, University of Wollongong; Beata Bukosa, NIWA; Yi Cao, University of Wollongong
2:25 PM	Multivariate Spatial Hawkes Process Models on Spheres Mikyoung Jun, University of Houston
2:45 PM	Multivariate Localization Functions for Use in Strongly Coupled Data Assimilation Zofia Claire Stanley, CIRES/NOAA PSL; Ian Grooms, University of Colorado, Boulder; Will Kleiber, University of Colorado
3:05 PM	Multivariate Spatial Modeling in GpGp Joe Guinness, Cornell University
3:25 PM	Discussant: Douglas Nychka, Colorado School of Mines
3:45 PM	Floor Discussion

103	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-101
Uncertainty Quantification for Machine Learning — Topic Contributed Papers
Section on Physical and Engineering Sciences, Section on Statistics in Defense and National Security, Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Michael Grosskopf, Los Alamos National Laboratory; Natalie Klein, Los Alamos National Laboratory
Chair(s): Natalie Klein, Los Alamos National Laboratory
8:35 AM	Myths and Reality in Bayesian Deep Learning Andrew Gordon Wilson, New York University
8:55 AM	Data-Driven Model-Form Uncertainty with Bayesian Statistics and Neural Differential Equations Erin Acquesta, Sandia National Laboratories; Teresa Portone, Sandia National Laboratories; Christopher Rackauckas, Massachusetts Institue of Technology; Raj Dandekar, Massachusetts Institute of Technology
9:15 AM	Generative Modeling Methods in Uncertainty Quantification and Bayesian Inference Youssef Marzouk, Massachusetts Institute of Technology
9:35 AM	Conformal Prediction and Calibration Under Distribution Drift Aaditya Ramdas, Carnegie Mellon University; Aleksandr Podkopaev, Carnegie Mellon University
9:55 AM	Learning Pushforwards for Domain Adaptation Nishant Panda, Los Alamos National Laboratory
10:15 AM	Floor Discussion

493 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-159AB
Uncertainty Quantification for the Mars Sample Return Mission — Invited Papers
Uncertainty Quantification in Complex Systems Interest Group, Section on Physical and Engineering Sciences
Organizer(s): Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
Chair(s): Maggie Johnson, Jet Propulsion Laboratory, California Institute of Technology
8:35 AM	Uncertainty Quantification for the Mars Sample Return Earth Entry System Landing Kevin Carpenter, Jet Propulsion Laboratory, California Institute of Technology; Aaron Siddens, Jet Propulsion Laboratory, California Institute of Technology; Giuseppe Cataldo, NASA Goddard Space Flight Center; Scott Perino, Jet Propulsion Laboratory, California Institute of Technology,
9:00 AM	Evaluation of Extreme Events and Reliability in the Context of the Mars Sample Return Mission Richard Smith, University of North Carolina Chapel Hill; Dawn Sanderson, University of North Carolina Chapel Hill; Maggie Johnson, Jet Propulsion Laboratory, California Institute of Technology; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
9:25 AM	The Containment Assurance Risk Framework of the Mars Sample Return Program Giuseppe Cataldo, NASA Goddard Space Flight Center; Kevin Carpenter, Jet Propulsion Laboratory, California Institute of Technology; Scott Perino, Jet Propulsion Laboratory, California Institute of Technology, ; Aaron Siddens, Jet Propulsion Laboratory, California Institute of Technology
9:50 AM	The Role of Uncertainty Quantification in the Mars Sample Return Mission Ralph Smith, North Carolina State University
10:15 AM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association