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Dependence in Probability and Statistics

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Cover of 'Dependence in Probability and Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Regeneration-based statistics for Harris recurrent Markov chains
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    Chapter 2 Subgeometric ergodicity of Markov chains
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    Chapter 3 Limit Theorems for Dependent U-statistics
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    Chapter 4 Recent results on weak dependence for causal sequences. Statistical applications to dynamical systems.
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    Chapter 5 Parametrized Kantorovich-Rubinštein theorem and application to the coupling of random variables
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    Chapter 6 Exponential inequalities and estimation of conditional probabilities
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    Chapter 7 Martingale approximation of non adapted stochastic processes with nonlinear growth of variance
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    Chapter 8 Almost periodically correlated processes with long memory
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    Chapter 9 Long memory random fields
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    Chapter 10 Long Memory in Nonlinear Processes
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    Chapter 11 A LARCH(∞) Vector Valued Process
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    Chapter 12 On a Szegö type limit theorem and the asymptotic theory of random sums, integrals and quadratic forms
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    Chapter 13 Aggregation of Doubly Stochastic Interactive Gaussian Processes and Toeplitz forms of U -Statistics
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    Chapter 14 On Efficient Inference in GARCH Processes
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    Chapter 15 Almost sure rate of convergence of maximum likelihood estimators for multidimensional diffusions
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    Chapter 16 Convergence rates for density estimators of weakly dependent time series
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    Chapter 17 Variograms for spatial max-stable random fields
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    Chapter 18 A non-stationary paradigm for the dynamics of multivariate financial returns
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    Chapter 19 Multivariate Non-Linear Regression with Applications
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    Chapter 20 Nonparametric estimator of a quantile function for the probability of event with repeated data
Attention for Chapter 5: Parametrized Kantorovich-Rubinštein theorem and application to the coupling of random variables
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Chapter title
Parametrized Kantorovich-Rubinštein theorem and application to the coupling of random variables
Chapter number 5
Book title
Dependence in Probability and Statistics
Published by
Springer, New York, NY , January 2006
DOI 10.1007/0-387-36062-x_5
Book ISBNs
978-0-387-31741-0, 978-0-387-36062-1

Jérôme Dedecker, Clémentine Prieur, Paul Raynaud De Fitte

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 50%
Professor 1 25%
Researcher 1 25%
Readers by discipline Count As %
Mathematics 2 50%
Computer Science 1 25%
Economics, Econometrics and Finance 1 25%