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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…