Convergence rates in the law of large numbers for arrays of Banach space valued random elements

2005 ◽  
Vol 72 (1) ◽  
pp. 59-69 ◽  
Author(s):  
Tibor Tómács
10.4213/tvp78 ◽  
2007 ◽  
Vol 52 (3) ◽  
pp. 562-587 ◽  
Author(s):  
Jerome Dedecker ◽  
Jerome Dedecker ◽  
Florence Merlevede ◽  
Florence Merlevede

2002 ◽  
Vol 9 (1) ◽  
pp. 137-148
Author(s):  
Ivan Matsak ◽  
Anatolij Plichko

Abstract A Bochner mean square deviation for random elements of 2-convex Banach lattices is introduced and investigated. Results, analogous to the law of large numbers for squares of random elements are proved in some classes of Köthe function spaces.


Author(s):  
Anna Kuczmaszewska ◽  
Dominik Szynal

Sufficient conditions are given under which a sequence of independent random elements taking values in a Banach space satisfy the Hsu and Robbins law of large numbers. The complete convergence of random indexed sums of random elements is also considered.


2019 ◽  
Vol 23 ◽  
pp. 922-946 ◽  
Author(s):  
Davide Giraudo

We establish deviation inequalities for the maxima of partial sums of a martingale differences sequence, and of an orthomartingale differences random field. These inequalities can be used to give rates for linear regression and the law of large numbers.


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