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Occasional Seminars Avidit Acharya (Stanford University)

"Improving the Relationship: A Principal-Agent Model of Progressive Learning and Path Dependence" Abstract We study a dynamic principal-agent relationship with adverse selection and limited commitment. We show that when the…

Seminars in Statistics Natesh Pillai (Harvard University)

Bayesian Factor Models in High Dimensions Sparse Bayesian factor models are routinely implemented for parsimonious dependence modeling and dimensionality reduction in high-dimensional applications. We provide theoretical understanding of such Bayesian…

Seminars in Statistics Steven Scott (Google)

Predicting the Present with Bayesian Structural Time Series This article describes a system for short term forecasting based on an ensemble prediction that averages over different combinations of predictors. The…

Occasional Seminars Allievi Program Defense Sessions

10.30 Danilo Forastiere  "Mean field approaches for linear threshold models on graphs"   11.00 Laura Risso "Branching Processes: properties and applications"   11.30 Alessandro Grande "Bayesian Inference in Epidemics over Networks"

Occasional Seminars Allievi Program Defense Sessions

junior allievi 12.30 Ornella Darovatitle: "What if your cleaning lady is a nuclear engineer? Overqualification of European immigrants: human capital transferability and freedom of movement" senior allievi 9.30 Alice Battistontitle:…