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I am interested in exploring the new functionality on random processes available in Mathematica 9, but I am not familiar with all of the underlying mathematics.

Could you recommend a book that provides a foundation on these topics?

I am thinking about a book that favors intuition and breadth over proofs. I have an engineering background (and know probability and statistics decently well) and would like to rapidly take advantage of these functions. I am interested in both modeling and estimation issues.

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Introduction to Probability Models by Ross gives good description of stochastic processes. Applied Intertemporal Optimization by Walde also has easy to follow structure on stochastic models in both discrete and continuous time and it is free to download pdf.

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  • $\begingroup$ Ah good, someone remembered Ross. I wanted to add it, but my books are packed and I could not remember his name. +1 $\endgroup$
    – rcollyer
    Commented Dec 27, 2012 at 4:30

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