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548 * ! Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
Using Artificial Intelligence and Advanced Statistical Methods to Improve Official Statistics — Topic Contributed Papers
Government Statistics Section, Section on Statistical Learning and Data Science, Survey Research Methods Section
Organizer(s): Barry W Johnson, Statistics of Income, Internal Revenue Service
Chair(s): Barry W Johnson, Statistics of Income, Internal Revenue Service
1:05 PM Recommender Algorithms for Form Anomaly Detection
William Roberts, Deloitte; Anne Parker, Internal Revenue Service; Danielle Gewurz, Deloitte
1:25 PM Statistically Robust Estimation of Unprotected Identity Theft in Individual Tax Returns: A Non-Parametric Simulation Based Approach
Sabyasachi Guharay, US Internal Revenue Service
1:45 PM NAICS Code Prediction Using Supervised Methods
Anne Parker, Internal Revenue Service; Evan Schulz, Internal Revenue Service; Christine Oehlert, Internal Revenue Service
2:05 PM An Active Learning Approach for Collecting Tax Revenue
Kristen Altenburger, Stanford University; Brandon Anderson, Stanford University; Ben Chugg, Stanford University; Jacob Goldin, Stanford University; Daniel En-Wenn Ho, Stanford Law School; Ahmad Qadri, Internal Revenue Service; Evelyn Smith, University of Michigan
2:25 PM Discussant: Karl Branting, MITRE Corporation
2:45 PM Floor Discussion