Open Access
VOL. 51 | 2006 Binomial upper bounds on generalized moments and tail probabilities of (super)martingales with differences bounded from above
Iosif Pinelis

Editor(s) Evarist Giné, Vladimir Koltchinskii, Wenbo Li, Joel Zinn

IMS Lecture Notes Monogr. Ser., 2006: 33-52 (2006) DOI: 10.1214/074921706000000743

Abstract

Let $(S_0,S_1,\dots)$ be a supermartingale relative to a nondecreasing sequence of $\sigma$-algebras $H_{\le0},H_{\le1},\dots$, with $S_0\le0$ almost surely (a.s.) and differences $X_i:=S_i-S_{i-1}$. Suppose that $X_i\le d$ and $\Var(X_i|H_{\le i-1})\le \si_i^2$ a.s.\ for every $i=1,2,\dots$, where $d>0$ and $\si_i>0$ are non-random constants. Let $T_n:=Z_1+\dots+Z_n$, where $Z_1,\dots,Z_n$ are i.i.d.\ r.v.'s each taking on only two values, one of which is $d$, and satisfying the conditions $\E Z_i=0$ and $\Var Z_i=\si^2:=\frac1n(\si_1^2+\dots+\si_n^2)$. Then, based on a comparison inequality between generalized moments of $S_n$ and $T_n$ for a rich class of generalized moment functions, the tail comparison inequality

$$ \PP(S_n\ge y) \le c\, \PP^{\lin,\lc}(T_n\ge y+\tfrac h2)\quad\forall y\in\R $$

is obtained, where $c:=e^2/2=3.694\dots$, $h:=d+\si^2/d$, and the function $y\mapsto\PP^{\lin,\lc}(T_n\ge y)$ is the least log-concave majorant of the linear interpolation of the tail function $y\mapsto\PP(T_n\ge y)$ over the lattice of all points of the form $nd+kh$ ($k\in\Z$). An explicit formula for $\PP^{\lin,\lc}(T_n\ge y+\tfrac h2)$ is given. Another, similar bound is given under somewhat different conditions. It is shown that these bounds improve significantly upon known bounds.

Information

Published: 1 January 2006
First available in Project Euclid: 28 November 2007

zbMATH: 1125.60017
MathSciNet: MR2387759

Digital Object Identifier: 10.1214/074921706000000743

Subjects:
Primary: 60E15 , 60G42 , 60G48 , 60G50
Secondary: 60E05 , 60G15

Keywords: Generalized moments , Martingales , Probability inequalities , Supermartingales , Upper bounds

Rights: Copyright © 2006, Institute of Mathematical Statistics

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