Predictable sampling for partially exchangeable arrays

2004 ◽  
Vol 70 (1) ◽  
pp. 95-108
Author(s):  
B. Gail Ivanoff ◽  
N.C. Weber
Keyword(s):  

1989 ◽  
Vol 30 (1) ◽  
pp. 137-154 ◽  
Author(s):  
Olav Kallenberg


1986 ◽  
Vol 23 (2) ◽  
pp. 307-318 ◽  
Author(s):  
Timothy C. Brown ◽  
B.G. Ivanoff ◽  
N.C. Weber




2016 ◽  
Vol 114 ◽  
pp. 54-59 ◽  
Author(s):  
Alexander Volfovsky ◽  
Edoardo M. Airoldi


Bernoulli ◽  
2000 ◽  
Vol 6 (2) ◽  
pp. 285 ◽  
Author(s):  
Peter McCullagh
Keyword(s):  


1989 ◽  
Vol 31 (1) ◽  
pp. 160-163 ◽  
Author(s):  
D.N Hoover
Keyword(s):  


Author(s):  
B. G. Ivanoff ◽  
N. C. Weber

AbstractKallenberg [2] introduced the concept of F-exchangeable sequences of random variables and produced some characterizations of F-exchangeability in terms of stopping times. In this paper ways of extending the concept of F-exchangeability to doubly indexed arrays of random variables are explored and some characterizations obtained for row and column exchangebale arrays, weakly exchangeable arrays and separately exchangeable continuous processes.



1992 ◽  
Vol 40 (1-2) ◽  
pp. 1-22 ◽  
Author(s):  
B.G Ivanoff ◽  
N.C. Weber


1985 ◽  
Vol 98 (3) ◽  
pp. 541-545
Author(s):  
D. J. Scott ◽  
R. M. Huggins

In Eagleson and Weber [2] a central limit theorem for weakly exchangeable arrays is given as a consequence of a reverse martingale central limit theorem. As noted in their remarks, a direct application of this is a central limit theorem for the classical U-statistics. Here we give a corollary to the functional law of the iterated logarithm of Scott and Huggins [4] and use this to obtain laws of the iterated logarithm for weakly exchangeable arrays and hence for U-statistics under a finite (2 + δ)th moment condition.



2021 ◽  
Vol 49 (2) ◽  
Author(s):  
Laurent Davezies ◽  
Xavier D’Haultfœuille ◽  
Yannick Guyonvarch


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