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 1980s as a natural continuation of martingale theory and has acquired a life of its own due to vigorous development and wide applicability....
| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
New York :
Springer,
1999
New York : c1999 New York : ©1999 |
| Series: | Probability and its applications (Springer-Verlag)
Springer series in statistics Probability and its applications Springer series in statistics Probability and its applications. |
| Subjects: |
Internet
Yale University
| Call Number: |
QA295 D355X 1999 (LC) |
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Massachusetts Institute of Technology
| Call Number: |
QA295.D355 1999 |
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Harvard University
| Call Number: |
QA295 .D355 1999 |
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Duke University
| Call Number: |
QA295 .D355 1999 |
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Princeton University
| Call Number: |
QA295 .D355 1999 |
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Columbia University
| Call Number: |
QA295 .D355 1999 |
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University of Pennsylvania
| Call Number: |
QA295 .D355 1999 |
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