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Almost sure invariance principles for partial sums of weakly dependent random variables / [electronic resource] Walter Philipp and William Stout.

By: Contributor(s): Material type: TextTextSeries: Memoirs of the American Mathematical Society ; no. 161.Publication details: Providence, R.I. : American Mathematical Society, 1975.Description: 1 online resource (iv, 140 p.)ISBN:
  • 9781470405472 (online)
Subject(s): Additional physical formats: Almost sure invariance principles for partial sums of weakly dependent random variables /DDC classification:
  • 510/.8 s 519.2
LOC classification:
  • QA3 .A57 no. 161 QA273
Online resources:
Contents:
1. Introduction 2. Description of the method 3. Lacunary trigonometric series with unweighted summands 4. Stationary $\phi $-mixing sequences 5. Gaussian sequences 6. Lacunary trigonometric series with weights 7. Functions of strongly mixing random variables 8. Nonstationary mixing sequences 9. A refinement of the Shannon-McMillan-Breiman theorem 10. Markov sequences 11. Retarded asymptotic martingale difference sequences 12. Continuous parameter stochastic processes Appendix I. The Gaal-Koksma strong law of large numbers Appendix I. An example
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK12614

"Volume 2, issue 2."

Bibliography: p. 138-140.

1. Introduction 2. Description of the method 3. Lacunary trigonometric series with unweighted summands 4. Stationary $\phi $-mixing sequences 5. Gaussian sequences 6. Lacunary trigonometric series with weights 7. Functions of strongly mixing random variables 8. Nonstationary mixing sequences 9. A refinement of the Shannon-McMillan-Breiman theorem 10. Markov sequences 11. Retarded asymptotic martingale difference sequences 12. Continuous parameter stochastic processes Appendix I. The Gaal-Koksma strong law of large numbers Appendix I. An example

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Electronic reproduction. Providence, Rhode Island : American Mathematical Society. 2012

Mode of access : World Wide Web

Description based on print version record.

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