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
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