Conditional independence, conditional mixing and conditional association
DOI10.1007/s10463-007-0152-2zbMath1314.60054OpenAlexW2020323483MaRDI QIDQ730762
Publication date: 30 September 2009
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-007-0152-2
conditional independenceconditional central limit theoremconditional covariance inequalityconditional associationconditional Borel-Cantelli lemmaconditional Hájek-Rényi inequalityconditional mixingconditional strong law of large numbersgeneralized Kolmogorov inequality
Inequalities; stochastic orderings (60E15) Central limit and other weak theorems (60F05) Probability distributions: general theory (60E05) Strong limit theorems (60F15)
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Cites Work
- Asymptotic optimal inference for non-ergodic models
- Generalization of an inequality of Kolmogorov
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- Moment inequalities for mixing sequences of random variables
- On the Application of the Borel-Cantelli Lemma
- A generalization of the Borel-Cantelli lemma
- A note on the Borel-Cantelli lemma
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