Advances in Applied Probability · 1973 · 166 citations · 11 references
EngineeringMathematicsFinancial EconomicsProbability TheoryStochastic ProcessesBrownian MotionContinuous-time Stochastic ProcessesErgodic TheoryLimit TheoremsMarkov ProcessesStationary ProcessesCentral Limit TheoremsFunctional Central Limit TheoremsMartingale Central Limit TheoremMartingale RepresentationMartingale TheorySkorokhod Representation TheoremStationary IncrementsTriangular Arrays
The Skorokhod representation for martingales is used to obtain a functional central limit theorem (or invariance principle) for martingales. It is clear from the method of proof that this result may in fact be extended to the case of triangular arrays in which each row is a martingale sequence and the second main result is a functional central limit theorem for such arrays. These results are then used to obtain two functional central limit theorems for processes with stationary ergodic increments following on from the work of Gordin. The first of these theorems extends a result of Billingsley for Φ-mixing sequences.
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Ergodic Theory and Information
D. S., Patrick Billingsley · Mathematics of Computation · 1966 · 1.1K citations
Introduction to Topology and Modern Analysis.
Arthur E. Danese, George F. Simmons · American Mathematical Monthly · 1964 · 749 citations
Martingale Central Limit Theorems
B. M. Brown · The Annals of Mathematical Statistics · 1971 · 718 citations · Full text