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£43.02
Springer Measure Theory, Probability, and Stochastic Processes
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Description
Key Features
This Springer textbook provides a rigorous treatment of measure theory specifically designed with applications to probability in mind.
The content is organized into three parts to help readers master the basic concepts of probability theory systematically.
Readers can explore the connections between martingales and Markov chains alongside Brownian motion and harmonic functions.
This Graduate Texts in Mathematics volume 295 requires only a working knowledge of real analysis to begin study.
The text serves as an introduction to the relationship between probability and other mathematical areas of analysis.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3031142071
- Domain
- Amazon UK
- Release Date
- 31 October 2023
- Listed Since
- 04 October 2023
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