A generalization of Hoeffding's lemma, and a new class of covariance inequalities
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Publication:1007352
DOI10.1016/j.spl.2008.10.012zbMath1284.62305OpenAlexW2072262274WikidataQ124844347 ScholiaQ124844347MaRDI QIDQ1007352
Publication date: 20 March 2009
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2008.10.012
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inequalities; stochastic orderings (60E15) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
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Cites Work
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- A multivariate extension of Hoeffding's lemma
- Mixing: Properties and examples
- On the covariance between functions
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- Some Limit Theorems for Random Functions. I
- Non-strong mixing autoregressive processes
- On Definitions of Bounded Variation for Functions of Two Variables
- Properties of Functions f(x, y) of Bounded Variation
- Multidimensional Variation for Quasi-Monte Carlo
- Some contributions to contingency-type bivariate distributions
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