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  1. Selected Papers
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    The central and distinguishing feature shared by all the contributions made by K. Ito is the extr...

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  2. Partial Differential Equations for Probabilists
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    This book deals with equations that have played a central role in the interplay between partial d...

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  3. Large Deviations
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    The first four chapters of this volume are based on lectures given by Stroock at MIT in 1987. The...

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  4. An Introduction to Markov Processes
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    This book provides a rigorous but elementary introduction to the theory of Markov Processes on a ...

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  5. Introduction to the Theory of Large Deviations
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    These notes are based on a course which I gave during the academic year 1983-84 at the University...

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  6. Concise Introduction to the Theory of Integration
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    This little book is the outgrowth of a one semester course which I have taught for each of the pa...

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  7. Elements of Stochastic Calculus and Analysis
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    This book gives a somewhat unconventional introduction to  stochastic analysis.  A...

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  8. Markov Processes from K. Itô’s Perspective (AM-155)
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    Kiyosi Ito's greatest contribution to probability theory may be his introduction of stochastic di...

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  9. Introduction to Markov Processes
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    To some extent, it would be accurate to summarize the contents of this book as an intolerably pro...

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  10. Ecole d’Ete de Probabilites de Saint-Flour XI, 1981
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  11. Mathematics of Probability
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    This book covers the basics of modern probability theory. It begins with probability theory on fi...

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  12. Essentials of Integration Theory for Analysis
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    When the first edition of this textbook published in 2011, it constituted a substantial revision ...

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