Limit Theorems for Multiply Indexed Mixing Random Variables, with Application to Gibbs Random Fields
Neaderhouser, Carla C.
Ann. Probab., Tome 6 (1978) no. 6, p. 207-215 / Harvested from Project Euclid
If $d$ is a fixed positive integer, let $\Lambda_N$ be a finite subset of $Z^d$, the lattice points of $\mathbb{R}^d$, with $\Lambda_N \uparrow Z^d$ and satisfying certain regularity properties. Let $(X_{N, Z})_{Z\in\Lambda_N}$ be a collection of random variables which satisfy a mixing condition and whose partial sums $X_N = \sum_{Z\in\Lambda_N} X_{N, Z}$ have uniformly bounded variances. Limit theorems, including a central limit theorem, are obtained for the sequence $X_N$. The results are applied to Gibbs random fields known to satisfy a sufficiently strong mixing condition.
Publié le : 1978-04-14
Classification:  Weakly dependent random variables,  mixing random variables,  central limit problem,  random fields,  60F05,  60F15
@article{1176995568,
     author = {Neaderhouser, Carla C.},
     title = {Limit Theorems for Multiply Indexed Mixing Random Variables, with Application to Gibbs Random Fields},
     journal = {Ann. Probab.},
     volume = {6},
     number = {6},
     year = {1978},
     pages = { 207-215},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176995568}
}
Neaderhouser, Carla C. Limit Theorems for Multiply Indexed Mixing Random Variables, with Application to Gibbs Random Fields. Ann. Probab., Tome 6 (1978) no. 6, pp.  207-215. http://gdmltest.u-ga.fr/item/1176995568/