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Strong laws for the maximal gain over increasing runs

✍ Scribed by Andrei Frolov; Alexander Martikainen; Josef Steinebach


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
107 KB
Volume
50
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

✦ Synopsis


Let {(Xi; Yi)}i=1;2;::: be an i.i.d. sequence of bivariate random vectors with P(Y1 = y) = 0 for all y. Put Mn = Mn(Ln) = max 06k6n-Ln (X k+1 +

denotes the indicator function of the event in brackets, Ln is the largest '6n, for which I k; ' = 1 for some k = 0; 1; : : : ; n -'. If, for example, Xi = Yi; i¿1, and Xi denotes the gain in the ith repetition of a game of chance, then Mn is the maximal gain over increasing runs of maximal length Ln. We derive a strong law of large numbers and a law of iterated logarithm type result for Mn.