E conomists have increasingly turned to the experimental model of the physical sciences as a method to understand human behavior. Peerreviewed articles using the methodology of experimental economics were almost nonexistent until the mid-1960s and surpassed 50 annually for the first time in 1982; and by 1998, the number of experimental papers published per year exceeded 200 (Holt, 2006). Lab ex...

We consider the parametric learning problem, where the objective of the learner is determined by a parametric loss function. Employing empirical risk minimization with possibly regularization, the inferred parameter vector will be biased toward the training samples. Such bias is measured by the cross validation procedure in practice where the data set is partitioned into a training set used for...

DISSECTING IMPLICIT LEADERSHIP THEORIES: A GENERALIZABILITYANALYSISby

The 2002 Lasker Clinical Medical Research Award honoured Willem Kolff and Belding Scribner, whose seminal work changed kidney failure from a fatal to a treatable disease. What began as exploratory efforts to sustain life and relieve uraemic symptoms in selected patients now provides chronic life-saving replacement therapy to millions of people worldwide. Continued improvements in clinical exper...

of the Dissertation Generalizability in Causal Inference: Theory and Algorithms

Bug prediction is a technique used to estimate the most bug-prone entities in software systems. Bug prediction approaches vary in many design options, such as dependent variables, independent variables, and machine learning models. Choosing the right combination of design options to build an e↵ective bug predictor is hard. Previous studies do not consider this complexity and draw conclusions ba...