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Leonard W. Doob. Leonard William Doob (March 3, 1909 – March 29, 2000) was an American academic who worked as the Sterling Professor Emeritus of Psychology at Yale University and was a pioneering figure in the fields of cognitive and social psychology, propaganda and communication studies, as well as conflict resolution.
According to Google's official blog, the earliest contributors were artists and programmers like Casey Reas, Ricardo Cabello (Mr.doob), Ryan Alexander, Joshua T. Nimoy, and Karsten Schmidt (Toxi). Since its inception and launch, Chrome Experiments has featured only user-submitted projects on their site, with a few exceptions of projects ...
Joseph Leo Doob (February 27, 1910 – June 7, 2004) was an American mathematician, specializing in analysis and probability theory. The theory of martingales was developed by Doob. Early life and education [ edit ]
In mathematics, Doob's martingale inequality, also known as Kolmogorov’s submartingale inequality is a result in the study of stochastic processes. It gives a bound on the probability that a submartingale exceeds any given value over a given interval of time. As the name suggests, the result is usually given in the case that the process is a ...
Doob is the son of Leonard W. Doob, a longtime professor of psychology at Yale University who served as the director of overseas intelligence for the United States Office of War Information during World War II. [1] Anthony Doob earned a Bachelor of Arts degree from Harvard University and a PhD in psychology from Stanford University.
Investigation underway after ship collides with underwater object, takes on water in Lake Superior, US Coast Guard says. Fabiana Chaparro, CNN. June 9, 2024 at 3:03 PM. US Coast Guard District 9.
Doob–Meyer decomposition theorem. The Doob–Meyer decomposition theorem is a theorem in stochastic calculus stating the conditions under which a submartingale may be decomposed in a unique way as the sum of a martingale and an increasing predictable process. It is named for Joseph L. Doob and Paul-André Meyer .
Optional stopping theorem. In probability theory, the optional stopping theorem (or sometimes Doob's optional sampling theorem, for American probabilist Joseph Doob) says that, under certain conditions, the expected value of a martingale at a stopping time is equal to its initial expected value. Since martingales can be used to model the wealth ...
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