scholarly journals On the prediction theory of two-parameter stationary random fields

1990 ◽  
Vol 32 (1) ◽  
pp. 120-149 ◽  
Author(s):  
G. Kallianpur ◽  
A.G. Miamee ◽  
H. Niemi
1992 ◽  
Vol 46 (1) ◽  
pp. 167-175
Author(s):  
R. Cheng

A number of Szegö-type prediction error formulas are given for two-parameter stationary random fields. These give rise to an array of elementary inequalities and illustrate a general duality relation.


Extremes ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 391-411 ◽  
Author(s):  
Chengxiu Ling

Extremes ◽  
2018 ◽  
Vol 22 (2) ◽  
pp. 293-315 ◽  
Author(s):  
Adam Jakubowski ◽  
Natalia Soja-Kukieła

Author(s):  
Han-Mai Lin

In this paper, we study the central limit theorem (CLT) and its weak invariance principle (WIP) for sums of stationary random fields non-necessarily adapted, under different normalizations. To do so, we first state sufficient conditions for the validity of a suitable ortho-martingale approximation. Then, with the help of this approximation, we derive projective criteria under which the CLT as well as the WIP hold. These projective criteria are in the spirit of Hannan’s condition and are well adapted to linear random fields with ortho-martingale innovations and which exhibit long memory.


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