![Model Theory of Stochastic Processes](https://img.perlego.com/book-covers/1712273/9781482279153_300_450.webp)
eBook - PDF
Model Theory of Stochastic Processes
Lecture Notes in Logic 14
Sergio Fajardo,H. Jerome Keisler
This is a test
- 140 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Model Theory of Stochastic Processes
Lecture Notes in Logic 14
Sergio Fajardo,H. Jerome Keisler
Book details
Table of contents
Citations
About This Book
This book presents new research in probability theory using ideas from mathematical logic. It is a general study of stochastic processes on adapted probability spaces, employing the concept of similarity of stochastic processes based on the notion of adapted distribution. The authors use ideas from model theory and methods from nonstandard analysis
Frequently asked questions
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlegoâs features. The only differences are the price and subscription period: With the annual plan youâll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, weâve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Model Theory of Stochastic Processes by Sergio Fajardo,H. Jerome Keisler in PDF and/or ePUB format, as well as other popular books in Matematica & Matematica generale. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- DEDICATION
- CONTENTS
- INTRODUCTION
- CHAPTER 1. ADAPTED DISTRIBUTIONS
- CHAPTER 2. HYPERFNITE ADAPTED SPACES
- CHAPTER 3. SATURATED SPACES
- CHAPTER 4. COMPARING STOCHASTIC PROCESSES
- CHAPTER 5. DEFNABILITY IN ADAPTED SPACES
- CHAPTER 6. ELEMENTARY EXTENSIONS
- CHAPTER 7. RICH ADAPTED SPACES
- CHAPTER 8. ADAPTED NEOMETRIC SPACES
- CHAPTER 9. ENLARGING SATURATED SPACES
- REFERENCES
- Index