The topic of this lecture is causality - namely, our awareness of what causes what in the world and why it matters. Though it is basic to human thought, Causality is a notion shrouded in mystery, controversy, and caution, because scientists and philosophers have had difficulties defining when one event TRULY CAUSES another. We all understand that the rooster's crow does not cause the sun to rise, but even this simple fact cannot easily be translated into a mathematical equation.
Y. Arbach, D. Karcher, K. Peters, and U. Nestmann. (2015)cite arxiv:1504.00512Comment: Proofs and additional information for the FORTE'15 paper 'Dynamic Causality in Event Structures'.
J. Bailar, and A. Bailer. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 164 (4):
503-6(February 2001)2835<m:linebreak></m:linebreak>Avaluació de riscs.
D. MacKinnon, J. Krull, and C. Lockwood. Prevention science : the official journal of the Society for Prevention Research, 1 (4):
173-81(December 2000)3530<m:linebreak></m:linebreak>Mesures d'associació.
A. Sharma, J. Hofman, and D. Watts. Proceedings of the Sixteenth ACM Conference on Economics and Computation, page 453--470. New York, NY, USA, ACM, (2015)
S. Wager, and S. Athey. (2015)cite arxiv:1510.04342Comment: Part of the results developed in this paper were made available as an earlier technical report Äsymptotic Theory for Random Forests", available at (arXiv:1405.0352). The present manuscript supersedes the technical report.