August 2014
Intermediate to advanced
424 pages
11h 25m
English
Content preview from Brownian Motion, 2nd Edition
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4 The canonical model
Often we encounter the statement ‘Let X be a random variable with law μ’ where μ is an a priori given probability distribution. There is no reference to the underlying probability space ( 
), and actually the nature of this space is not important: While X is defined by the probability distribution, there is considerable freedom in the choice of our model (
). The same situation is true for stochastic processes: Brownian motion ...
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