Glenn Shafer (born November 21, 1946) is an American mathematician and statistician. He is the co-creator of Dempster–Shafer theory. He is a University Professor and Board of Governors Professor at Rutgers University.
Early life and education
Shafer grew up on a farm near Caney, Kansas. He received a bachelor's degree in mathematics from Princeton University, then entered the Peace Corps, serving in Afghanistan. He returned to Princeton, earning a PhD in mathematical statistics in 1973 under Geoffrey Watson.[1][2]
During the 1970s and 1980s he expanded a theory first introduced by Arthur P. Dempster to create Dempster–Shafer theory, also described as the theory of belief functions or evidence theory. It is a general framework for reasoning with uncertainty, allowing one to combine evidence from different sources and arrive at a degree of belief (represented by a mathematical object called belief function) that takes into account all the available evidence.[3] The theory and its extensions have been of particular interest to the artificial intelligence community.[4]
More recently he worked with Vladimir Vovk to develop a game-theoretic framework for probability. That work produced a 2001 book, Probability and Finance: It's Only a Game! A joint research group between Rutgers and Royal Holloway, University of London has produced more than 50 working papers on the subject.[5]
Principal publications
Shafer, Glenn, A Mathematical Theory of Evidence, Princeton University Press, 1976.[6]
Shafer, Glenn, and Vovk, Vladimir, Probability and Finance: It's Only a Game!, John Wiley and Sons, 2001.[7]
Shafer, Glenn, and Vovk, Vladimir, Game‐Theoretic Foundations for Probability and Finance, John Wiley and Sons, 2019.[8]
^Shafer, Glenn; A Mathematical Theory of Evidence, Princeton University Press, 1976, ISBN0-608-02508-9
^Shafer, Glenn; Vovk, Vladimir (2001). Probability and Finance: It's Only a Game!. Wiley Series in Probability and Statistics. ISBN978-0471402268.
^Shafer, Glenn; Vovk, Vladimir (2019). Game‐Theoretic Foundations for Probability and Finance. Wiley Series in Probability and Statistics. ISBN9780470903056.