Decoupling : From Dependence to Independence /
Decoupling theory provides a general framework for analyzing problems involving dependent random variables as if they were independent. It was born in the early eighties as a natural continuation of martingale theory and has acquired a life of its own due to vigorous development and wide applicabili...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York : Imprint : Springer,
1999.
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| Series: | Probability and its Applications, A Series of the Applied Probability Trust.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Sums of Independent Random Variables
- Randomly Stopped Processes with Independent Increments
- Decoupling of U-Statistics and U-Processes
- Limit Theorems for U-Statistics
- Limit Theorems for Degenerate U-Processes
- General Decoupling Inequalities for Tangent Sequences
- Conditionally Independent Sequences
- Further Applications of Decoupling.