Chung (Stanford U.) re-releases his 1995 Green, Brown, and Probability , which explores relations between the Brownian motion process in probability theory and several fundamental propositions in mat
This is a collection of articles by Kai Lai Chung, previously published in the series Seminaire de Probabilites of the Lecture Notes in Mathematics, published on the occasion of the 2010 conference in
A text for a probability course, popular since publication of the first edition in 1968. Coverage includes distribution function, measure theory, random variables and properties of mathematical expect
From the reviews:J. Neveu, 1962 in Zentralblatt fur Mathematik, 92.Band Heft 2, p. 343: "Ce livre ecrit par l'un des plus eminents specialistes en la matiere, est un expose tres detaille de l
This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edi
Die Theorie der Brown'schen Bewegung hat sich in letzter Zeit zu einem sehr wichtigen Werkzeug bei der Lösung von Problemen in der mathematischen Physik entwickelt. In der vorliegenden, in sich abgesc
This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edi
A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable
In the first of two essays on the role of time in probability and quantum physics, Chung (Stanford University) explains why probability theory starts where random time appears and illustrates this ide
