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- 330 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Probability For Analysts
Book details
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About This Book
This book will enable researchers and students of analysis to more easily understand research papers in which probabilistic methods are used to prove theorems of analysis, many of which have no other known proofs. The book assumes a course in measure and integration theory but requires little or no background in probability theory. It emplhasizes topics of interest to analysts, including random series, martingales and Brownian motion.
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Yes, you can access Probability For Analysts by Karl Stromberg in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover
- Half Title
- Series Editors
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Preface
- Chapter 1. Fourier Transforms on âd
- Chapter 2. Weak Convergence in M1(âd)
- Chapter 3. Independence
- Appendix: Hopfâs Extension Theorem
- Chapter 4. Infinite Series of Random Vectors
- Chapter 5. Normal Distributions and Central Limits
- Appendix: Some applications of Probability to Analysis
- Chapter 6. Martingales
- Chapter 7. Projective Limits and Infinite Products of Probability Measures
- Appendix: Products of Probability Spaces
- Chapter 8. Brownian Motions
- Appendix: Which Martingales Are Brownian Motions?
- Chapter 9. Random Fourier Series of Continuous Functions
- Chapter 10. Fourier Coefficients of Continuous Functions
- Index of Symbols
- Index of Authors and Terms