4,558 research outputs found

    Binomial upper bounds on generalized moments and tail probabilities of (super)martingales with differences bounded from above

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    Let (S0,S1,...)(S_0,S_1,...) be a supermartingale relative to a nondecreasing sequence of Οƒ\sigma-algebras H≀0,H≀1,...H_{\le0},H_{\le1},..., with S0≀0S_0\le0 almost surely (a.s.) and differences Xi:=Siβˆ’Siβˆ’1X_i:=S_i-S_{i-1}. Suppose that Xi≀dX_i\le d and Var(Xi∣H≀iβˆ’1)≀σi2\mathsf {Var}(X_i|H_{\le i-1})\le \sigma_i^2 a.s. for every i=1,2,...i=1,2,..., where d>0d>0 and Οƒi>0\sigma_i>0 are non-random constants. Let Tn:=Z1+...+ZnT_n:=Z_1+...+Z_n, where Z1,...,ZnZ_1,...,Z_n are i.i.d. r.v.'s each taking on only two values, one of which is dd, and satisfying the conditions EZi=0\mathsf {E}Z_i=0 and VarZi=Οƒ2:=1n(Οƒ12+...+Οƒn2)\mathsf {Var}Z_i=\sigma ^2:=\frac{1}{n}(\sigma_1^2+...+\sigma_n^2). Then, based on a comparison inequality between generalized moments of SnS_n and TnT_n for a rich class of generalized moment functions, the tail comparison inequality \mathsf P(S_n\ge y) \le c \mathsf P^{\mathsf Lin,\mathsf L C}(T_n\ge y+\tfrach2)\quad\forall y\in \mathbb R is obtained, where c:=e2/2=3.694...c:=e^2/2=3.694..., h:=d+Οƒ2/dh:=d+\sigma ^2/d, and the function y↦PLin,LC(Tnβ‰₯y)y\mapsto \mathsf {P}^{\mathsf {Lin},\mathsf {LC}}(T_n\ge y) is the least log-concave majorant of the linear interpolation of the tail function y↦P(Tnβ‰₯y)y\mapsto \mathsf {P}(T_n\ge y) over the lattice of all points of the form nd+khnd+kh (k∈Zk\in \mathbb {Z}). An explicit formula for PLin,LC(Tnβ‰₯y+h2)\mathsf {P}^{\mathsf {Lin},\mathsf {LC}}(T_n\ge y+\tfrac{h}{2}) is given. Another, similar bound is given under somewhat different conditions. It is shown that these bounds improve significantly upon known bounds.Comment: Published at http://dx.doi.org/10.1214/074921706000000743 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org

    On the nonuniform Berry--Esseen bound

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    Due to the effort of a number of authors, the value c_u of the absolute constant factor in the uniform Berry--Esseen (BE) bound for sums of independent random variables has been gradually reduced to 0.4748 in the iid case and 0.5600 in the general case; both these values were recently obtained by Shevtsova. On the other hand, Esseen had shown that c_u cannot be less than 0.4097. Thus, the gap factor between the best known upper and lower bounds on (the least possible value of) c_u is now rather close to 1. The situation is quite different for the absolute constant factor c_{nu} in the corresponding nonuniform BE bound. Namely, the best correctly established upper bound on c_{nu} in the iid case is about 25 times the corresponding best known lower bound, and this gap factor is greater than 30 in the general case. In the present paper, improvements to the prevailing method (going back to S. Nagaev) of obtaining nonuniform BE bounds are suggested. Moreover, a new method is presented, of a rather purely Fourier kind, based on a family of smoothing inequalities, which work better in the tail zones. As an illustration, a quick proof of Nagaev's nonuniform BE bound is given. Some further refinements in the application of the method are shown as well.Comment: Version 2: Another, more flexible and general construction of the smoothing filter is added. Some portions of the material are rearranged. In particular, now constructions of the smoothing filter constitute a separate section. Version 3: a few typos are corrected. Version 4: the historical sketch is revised. Version 5: two references adde
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