Past Events

Presenter: James Lloyd Abstract: While it is becoming easier to collect and store all kinds of data, including personal medical data, scientific data, and commercial data, there are relatively few people trained in the statistical and machine learning...

Presenter: Matt Blackwell Abstract: n this paper, I introduce a Bayesian model for detecting changepoints in a time-series of contributions to candidates over the course of a campaign. This game-changers model is ideal for campaign contributions data...

Presenter: Eric Chaney Abstract: This paper investigates the present-day economic impact of medieval republican institutions along the historical borders of the Basque Country in Spain and France. I present evidence suggesting that medieval republican...

Presenter: Nathan Kallus Abstract: Achieving balance between experimental groups is a cornerstone of causal inference. Without balance any observed difference may be attributed to a difference other than the treatment alone. In controlled/clinical trials...

Presenter: Nick Beauchamp Abstract: Presidential, gubernatorial, and senatorial elections all require state-level polling, but even during presidential campaigns, state-level surveys remain sparse, erratically timed, and entirely neglected in...