Central limit theorems for martingales and for processes with stationary increments using a Skorokhod representation approach
- 1 April 1973
- journal article
- research article
- Published by Cambridge University Press (CUP) in Advances in Applied Probability
- Vol. 5 (01) , 119-137
- https://doi.org/10.1017/s0001867800038982
Abstract
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.Keywords
This publication has 9 references indexed in Scilit:
- Estimation theory for growth and immigration rates in a multiplicative processJournal of Applied Probability, 1972
- Martingale Central Limit TheoremsThe Annals of Mathematical Statistics, 1971
- On the Departure from Normality of a Certain Class of MartingalesThe Annals of Mathematical Statistics, 1970
- An invariance principle for reversed martingalesProceedings of the American Mathematical Society, 1970
- The Existence of Certain Stopping Times on Brownian MotionThe Annals of Mathematical Statistics, 1969
- On a Theorem of SkorohodThe Annals of Mathematical Statistics, 1968
- Some Invariance Principles for Functionals of a Markov ChainThe Annals of Mathematical Statistics, 1967
- An invariance principle for the law of the iterated logarithmProbability Theory and Related Fields, 1964
- On Interchanging Limits and IntegralsThe Annals of Mathematical Statistics, 1960