scholarly journals Sharp inequality for randomly stopped sums of independent non-negative random variables

1994 ◽  
Vol 51 (1) ◽  
pp. 63-73 ◽  
Author(s):  
Paweʖl Hitczenko
1965 ◽  
Vol 36 (3) ◽  
pp. 789-799 ◽  
Author(s):  
Y. S. Chow ◽  
Herbert Robbins ◽  
Henry Teicher

2014 ◽  
Vol 51 (2) ◽  
pp. 483-491 ◽  
Author(s):  
M. V. Boutsikas ◽  
D. L. Antzoulakos ◽  
A. C. Rakitzis

Let T be a stopping time associated with a sequence of independent and identically distributed or exchangeable random variables taking values in {0, 1, 2, …, m}, and let ST,i be the stopped sum denoting the number of appearances of outcome 'i' in X1, …, XT, 0 ≤ i ≤ m. In this paper we present results revealing that, if the distribution of T is known, then we can also derive the joint distribution of (T, ST,0, ST,1, …, ST,m). Two applications, which have independent interest, are offered to illustrate the applicability and the usefulness of the main results.


Bernoulli ◽  
2008 ◽  
Vol 14 (2) ◽  
pp. 391-404 ◽  
Author(s):  
Denis Denisov ◽  
Serguei Foss ◽  
Dmitry Korshunov

1995 ◽  
Vol 32 (4) ◽  
pp. 1138-1141
Author(s):  
Claude Lefèvre ◽  
Sergey Utev

In a recent paper on the validity of Wald's equation, Roters (1994) raised an important question on the non-existence of the expectation of randomly stopped sums. The purpose of this note is to answer the question in the affirmative. As a consequence, an old question by Taylor (1972) also gets a positive answer.


Bernoulli ◽  
2010 ◽  
Vol 16 (4) ◽  
pp. 971-994 ◽  
Author(s):  
Denis Denisov ◽  
Serguei Foss ◽  
Dmitry Korshunov

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