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Continuous-Parameter Martingales

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Multiparameter Processes

Part of the book series: Springer Monographs in Mathematics ((SMM))

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Abstract

The second part of this book starts with a continuous-parameter extension of the discrete-parameter theory of Chapter 1. Our use of the term “extension” is quite misleading. Indeed, we will quickly find that in order to carry out these “extensions,” one needs a good understanding of the regularity of the sample functions of multiparameter stochastic processes; this will require a great effort. However, we will be rewarded for our hard work, since it will lead to a successful continuous-parameter theory that, in many ways, probes much more deeply than its discrete-parameter counterpart. Moreover, this theory lies at the foundations of nearly all of the random fields that arise throughout the rest of this book and a great deal more. Viewed as such, this chapter is simply indispensable for those who wish to read on.

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© 2002 Springer-Verlag New York, Inc.

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Khoshnevisan, D. (2002). Continuous-Parameter Martingales. In: Multiparameter Processes. Springer Monographs in Mathematics. Springer, New York, NY. https://doi.org/10.1007/0-387-21631-6_7

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  • DOI: https://doi.org/10.1007/0-387-21631-6_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-3009-5

  • Online ISBN: 978-0-387-21631-7

  • eBook Packages: Springer Book Archive

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