3 research outputs found
A central limit theorem for stationary random fields
This paper establishes a central limit theorem and an invariance principle
for a wide class of stationary random fields under natural and easily
verifiable conditions. More precisely, we deal with random fields of the form
, , where
are i.i.d random variables and is a measurable
function. Such kind of spatial processes provides a general framework for
stationary ergodic random fields. Under a short-range dependence condition, we
show that the central limit theorem holds without any assumption on the
underlying domain on which the process is observed. A limit theorem for the
sample auto-covariance function is also established.Comment: 22 page
On Beveridge-Nelson decomposition and limit theorems for linear random fields
We consider linear random fields and show how an analogue of the Beveridge-Nelson decomposition can be applied to prove limit theorems for sums of such fields.Limit theorems Random fields