Mathematics and Statistics Colloquium

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

Location: DMTI 111.

View the Colloquium abstracts.

The slide presentations of most speakers are available upon request.
Please send an email to

Links to a few full presentations are provided below

Fall 2020 Schedule

9/8/2020: Stephen D. Casey, American University; Norbert Wiener Center University of Maryland
A New Architecture for Cell Phones Sampling via Projection for UWB and AFB Systems

9/15/2020: Martha Dusenberry Pohl, American University 
Further Visualizations of the Census: ACS, Redistricting, Names Files; & HMDA using Shapefiles, BISG, Venn Diagrams, Quantification, 3-D rotation, & Animation

9/22/2020: Michael Baron, American University
Statistical analysis of epidemic counts data: modeling, detection of outbreaks, and recovery of missing data

9/29/2020: Soutrik Mandal, Division of Cancer Epidemiology and Genetics (National Cancer Institute | National Institutes of Health)
Incorporating survival data to case-control studies with incident and prevalent cases

10/13/2020: John P. Nolan, American University
Hitting objects with random walks

10/20/2020: Yuri Levin-Schwartz, Icahn School of Medicine at Mount Sinai 
Machine learning improves estimates of environmental exposures

10/27/2020: Nathalie Japkowicz, American University
Harnessing Dataset Complexity in Classification Tasks

11/10/2020: Anthony Kearsley, NIST 

11/17/2020: Donna Dietz, American University 
An Analysis of IQ-Link (TM)

Spring 2020 Schedule

1/21/2020: Justin Pierce, Federal Reserve Washington DC
Examining the Decline in US Manufacturing Employment

1/28/2020: Ruth Pfeiffer, Biostatistics Branch, National Cancer Institution, NIH
Sufficient dimension reduction for high dimensional longitudinally measured biomarkers

2/11/2020: Erica L. Smith, Bureau of Justice Statistics, US Dept. of Justice
Overview of Department of Justice Statistical Data Collections Related to Gun Violence

2/18/2020: Sudip Bhatttacharjee, University of Connecticut
A Text Mining and Machine Learning Platform to Classify Businesses into NAICS codes

2/25/2020: Avi Bender, National Technical Information Service (NTIS)
Data Science Skills for Delivering Mission Outcome: An interactive discussion with the Director of the National Technical Information Service (NTIS), US Department of Commerce

3/10/2020: Spring Break

Due to the Corona Virus outbreak, all remaining colloquium presentations have been canceled for the rest of the Spring semester in 2020. We will start again in the Fall.

4/28/2020: Reading Day

5/5/2020: Final Exams

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

Math and statistics colloquium.


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John L. Eltinge on Transparency and Reproducibility


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."