The Annals of Probability · 1974 · 598 citations · 7 references
Natural SciencesMathematicsProbability TheoryStatisticsStochastic ProcessesLimit TheoremsMarkov ProcessesCentral Limit TheoremsInvariance PrinciplesLimit Theorems For Dependent Random VariablesLindeberg-feller TheoremMartingale Central Limit Theorem
Central limit theorems are proved for martingales and near-martingales without the existence of moments or the full Lindeberg condition. These theorems are extended to invariance principles with a discussion of both random and nonrandom norming.
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Walter A. Rosenkrantz, Paul A. Meyer · Mathematics of Computation · 1967 · 985 citations
Martingale Central Limit Theorems
B. M. Brown · The Annals of Mathematical Statistics · 1971 · 718 citations · Full text