Essential concepts of Causal inference—a remarkable history
CMSA 20 Garden Street, Cambridge, MA, United StatesSpeaker: Don Rubin (Harvard Statistics) Title: Essential concepts of Causal inference—a remarkable history Abstract: I believe that a deep understanding of cause and effect, and how to estimate causal effects from data, complete with the associated mathematical notation and expressions, only evolved in the twentieth century. The crucial idea of randomized experiments was apparently first proposed in 1925 in the context of […]
