Mathematics and Statistics Colloquium

Tuesdays from 2:30 to 4:00, with tea at 2:00.

Location: DMTI 111.

View the Colloquium abstracts.

Fall 2019 Schedule 

9/10/2019: Dr. Scott Parker, American University
Some useful information about the Wilcoxon-Mann Whitney test and effect size measurement

9/17/2019: Dr. Michael Robinson, American University
Radio Fox Hunting using Sheaves

9/24/2019: Dr. Zois Boukouvalas, American University
Data Fusion in the Age of Data: Recent Theoretical Advances and Applications

10/8/2019: Dr. Elizabeth Stuart, Johns Hopkins
Assessing and enhancing the generalizability of randomized trials to target populations

10/15/2019: Latif Khalil, JBS International, Inc. 
Entity Resolution Techniques to Significantly Improve Healthcare Data Quality

10/22/2019: Dennis Lucarelli, American University 
Steering qubits, cats and cars via gradient ascent in function space

10/29/2019: Michael Thieme, Assistant Director for Decennial Census Programs, Systems and Contracts
Census 2020 - Clear Vision for the Country 

11/12/2019: John Eltinge, US Census Bureau 
Transparency and Reproducibility in the Design, Testing, Implementation and Maintenance of Procedures for the Integration of Multiple Data Sources

11/19/2019: Xander Faber, Institute for Defense Analyses, Center for Computing Sciences 

11/26/2019: Thanksgiving Break 

12/10/2019: Final Exams 

12/17/2019: Final Exams

12/24/2019-1/7/2020: Winter Break

1/21/2020: Justin Pearce, Federal Reserve Washington DC

2/11/2020: Erica Smith, Department of Justice

3/10/2020: Spring Break

5/5/2020: Final Exams

 

Math and statistics colloquium.

Organizers

Aleka Kapatou (kapatou@american.edu)

Julia Chiman (chifman@american.edu)

Olga Cordero-Brana (corderob@american.edu)

Please email mathstat@american.edu if you would like to be added to the colloquium mailing list.

John L. Eltinge on Transparency and Reproducibility

54:54

On November 12, 2019, United States Census Bureau's John L. Eltinge presented on "Transparency and Reproducibility in the Design, Testing, Implementation and Maintenance of Procedures for the Integration of Multiple Data Sources."