On Conditional Independence, Mixing, and Association
DOI10.1080/07362990802405836zbMath1160.60002OpenAlexW1999592931MaRDI QIDQ3548440
Publication date: 12 December 2008
Published in: Stochastic Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07362990802405836
conditional characteristic functionconditional varianceconditional associationconditional mixingconditional covarianceconditional independence of classes of eventsconditional independence of eventsconditional independence of random variables
Asymptotic properties of parametric estimators (62F12) Nonparametric estimation (62G05) Stochastic processes (60G99) Foundations of probability theory (60A99) Asymptotic properties of parametric tests (62F05)
Related Items (18)
Cites Work
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- Asymptotic conditional inference for regular nonergodic models with an application to autoregressive processes
- Normal fluctuations and the FKG inequalities
- Asymptotic minimax results for stochastic process families with critical points
- Defining the curvature of a statistical problem (with applications to second order efficiency)
- Asymptotic normality of random fields of positively or negatively associated processes
- Moment inequalities for mixing sequences of random variables
- Reciprocal processes
- Asymptotic Statistics
- Some Concepts of Dependence
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