Exponential Families of Stochastic Processes by Uwe Küchler

Exponential Families of Stochastic Processes

byUwe Küchler, Michael Sorensen

Hardcover | July 10, 1997

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A comprehensive account of the statistical theory of exponential families of stochastic processes. The book reviews the progress in the field made over the last ten years or so by the authors - two of the leading experts in the field - and several other researchers. The theory is applied to a broad spectrum of examples, covering a large number of frequently applied stochastic process models with discrete as well as continuous time. To make the reading even easier for statisticians with only a basic background in the theory of stochastic process, the first part of the book is based on classical theory of stochastic processes only, while stochastic calculus is used later. Most of the concepts and tools from stochastic calculus needed when working with inference for stochastic processes are introduced and explained without proof in an appendix. This appendix can also be used independently as an introduction to stochastic calculus for statisticians. Numerous exercises are also included.

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Title:Exponential Families of Stochastic ProcessesFormat:HardcoverDimensions:333 pages, 9.25 × 6.1 × 0.03 inPublished:July 10, 1997Publisher:Springer New York

The following ISBNs are associated with this title:

ISBN - 10:038794981X

ISBN - 13:9780387949819

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Table of Contents

1. Introduction: 2. Natural exponential families of Levy processes: 3. Definitions and examples: 4. First properties: 5. Random time transformations: 6. Exponential families of Markov processes: 7. The envelope families: 8. Likelihood theory: 9. Lincar stochastic differential equations with time delay: 10. Sequential methods: 11. The semimartingale approach: 12. Alternative definitions: A A toolbox from stochastic calculus