We propose an extension of the Fama-MacBeth regression by allowing stock returns to respond differently to firm characteristics. This heterogeneous model can potentially capture non-linearity and interactions. Empirical, applying it to a common set of fifteen firm characteristics, we find that...

We study the problem of consumer acquisition in recommender systems, by considering a marketplace where a recommender system provider offers personalized incentives to encourage consumer participation. We investigate a model of consumer acquisition that accounts for several key market dynamics,...

Limited access to large-scale data is one of the key obstacles to building machine learning and artificial intelligence applications in healthcare, partly due to a reluctance of information exchange among healthcare institutions out of privacy and data security concerns. To address this issue,...

Chapter 1 is concerned with confidence interval construction for the mean of a long-range dependent time series. It is well known that the moving block bootstrap method produces an inconsistent estimator of thedistribution of the normalized sample mean when its limiting distribution is not...