Statistica Sinica · 2012 · 60 citations · 25 references
Natural SciencesMathematicsProbability TheoryStochastic ProcessesTime Series AnalysisDensity DependenceDependence ModelingMarkov ProcessesLimit Theorems For Dependent Random VariablesNonlinear DependenceNonlinear Time-series AnalysisProbability Inequalities For Sums Of Random VariablesRosenthal Inequality
We establish Nagaev and Rosenthal-type inequalities for dependent ran- dom variables. The imposed dependence conditions, which are expressed in terms of functional dependence measures, are directly related to the physical mechanisms of the underlying processes and are easy to work with. Our results are applied to nonlinear time series and kernel density estimates of linear processes.
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Distribution Function Inequalities for Martingales
D. L. Burkholder · The Annals of Probability · 1973 · 828 citations · Full text
On Tail Probabilities for Martingales
David A. Freedman · The Annals of Probability · 1975 · 646 citations · Full text