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10 North Professor Street, Oberlin, OH 44074

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Please join the Mathematics department in welcoming our 2024 Tamura Lilly lecturer, Kelly McConville (Bucknell University). The lecture will begin at 7 pm with a reception to immediately follow in the lobby area.

A Cautious Survey Statistician’s Approach to Estimation in the Age of Big Data

For survey statistics practitioners, it sometimes feels like the sky is falling. Response rates are declining. Data collection costs are increasing. Federal budgets are shrinking. For survey statistics researchers, the sky isn’t falling but is raining exciting, new data sources and modeling techniques. In this talk, I will present one modern, but cautious, approach to estimation where machine learning models link survey data with big(ger) data. Drawing on my collaborations with the U.S. Bureau of Labor Statistics and the U.S. Forest Inventory and Analysis Program, we will explore the performance of this approach and consider some lessons learned.

This lecture will not be recorded or live streamed.

  • Emily Scott

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