Statistics
Relevant Creators
Essayist, mathematical statistician, former option trader, risk analyst, and aphorist. Work concerns problems of randomness, probability, and uncertainty.
Writer known for his best-selling book "How to Lie with Statistics" which became the most popular statistics book in the second half of the twentieth century.
Recipient of bachelor of science degrees in mathematics and in physics from MIT. Obtained a master of science in 1987 and a doctor of philosophy in 1990, both in statistics from Harvard University.
Writer and journalist. Former Midwest correspondent for The Economist. Contributor to various publications including the Chicago Tribune, The New York Times, The Wall Street Journal, and Yahoo! Finance.
Israeli-American computer scientist and philosopher. Known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks. Awarded the Turing Award in 2011 for fundamental contributions to artificial intelligence. Author of several books, including "Causality: Models, Reasoning and Inference" and "The Book of Why."
@aubreyclayton@mastodon.social
author of Bernoulli's Fallacy |
@NautilusMag @GlobeIdeas |
Opinions and Bayesian priors are my own.
He/him
Physicist and institute professor at the Massachusetts Institute of Technology. Winner of the 1990 Nobel Prize in Physics for pioneering investigations in deep inelastic scattering of electrons on protons and bound neutrons, leading to the development of the quark model in particle physics.
Statistician and academic. Holds a Ph.D. in statistics from Stanford University, with a dissertation on "Principal Curves and Surfaces".
Known for the development of the Lasso method, which introduced the use of L1 penalization in regression and related problems, as well as Significance Analysis of Microarrays.
Professor in computational Bayesian modeling at Aalto University
Holder of a master's degree in statistics from Rutgers University and a Ph.D. in statistics from Harvard University.