A functional central limit theorem for the quadratic variation of a class of gaussian random fields

1989 ◽  
Vol 17 (2) ◽  
pp. 247-251 ◽  
Author(s):  
C. M. Deo
2016 ◽  
Vol 35 (4) ◽  
Author(s):  
István Fazekas ◽  
Peter Filzmoser

Kernel type density estimators are studied for random fields. A functional central limit theorem in the space of square integrable functions is proved if the locations of observations become more and more dense in an increasing sequence of domains.


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