Illinois Journal of Mathematics · 1994 · 13 citations · 7 references
Natural SciencesMathematicsProbability TheoryStochastic ModelingStochastic ProcessesFractal GeometryMarkov ProcessesProbability DistributionsStochastic Process Analysis
The Billingsley formulation (which we use) depends critically on a fixed stochastic process {X, X2,... taking values in a finite or countable state space S. No information about a subset E c f has any relevance unless it depends on the values {Xn(to)}. This means that we would lose nothing by assuming that f is an infinite product of a sequence of copies of S, which would make a typical point to (Xl, x2,..., xn,...), where each x S.
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Hausdorff dimension in probability theory II
Patrick Billingsley · Illinois Journal of Mathematics · 1961 · 131 citations · Full text