TY - JOUR
T1 - VARIATIONS ON THE BERRY–ESSEEN THEOREM
AU - Klartag, B.
AU - Sodin, S.
N1 - We would like to thank Shahar Mendelson for his help on the subject of Bernstein-type inequalities in the absence of exponential moments. This work was supported by the Israel Science Foundation, a Marie Curie Reintegration Grant from the Commission of the European Communities, and by the Adams Fellowship Program of the Israel Academy of Sciences and Humanities.
PY - 2012
Y1 - 2012
N2 - Suppose that X-1,. . ., X-n are independent, identically distributed random variables of mean zero and variance one. Assume that E vertical bar X-1 vertical bar(4) 0 is a universal constant. This inequality should be compared with the classical Berry- Esseen theorem, according to which the left- hand side may decay with n at the slower rate of O(1/root n) for the unit vector 0 - (1,. . ., 1)/root n. An explicit, universal example for coefficients theta = (theta(1),. . ., theta(n)) for which this inequality holds is theta = ( 1,root 2, -1, -root 2, -1, root 2, -1, -root 2,. . .) (3n/2)(-1/2), when n is divisible by four. Parts of the argument are applicable also in the more general case, in which X-1,. . ., X-n are independent random variables of mean zero and variance one yet are not necessarily identically distributed. In this general setting, the bound above holds with delta(4) = n(-1) Sigma(n)(j)=1 E vertical bar X-j vertical bar(4) for most selections of a unit vector theta = (theta(1),. . ., theta(n)) is an element of R-n. Here "most" refers to the uniform probability measure on the unit sphere.
AB - Suppose that X-1,. . ., X-n are independent, identically distributed random variables of mean zero and variance one. Assume that E vertical bar X-1 vertical bar(4) 0 is a universal constant. This inequality should be compared with the classical Berry- Esseen theorem, according to which the left- hand side may decay with n at the slower rate of O(1/root n) for the unit vector 0 - (1,. . ., 1)/root n. An explicit, universal example for coefficients theta = (theta(1),. . ., theta(n)) for which this inequality holds is theta = ( 1,root 2, -1, -root 2, -1, root 2, -1, -root 2,. . .) (3n/2)(-1/2), when n is divisible by four. Parts of the argument are applicable also in the more general case, in which X-1,. . ., X-n are independent random variables of mean zero and variance one yet are not necessarily identically distributed. In this general setting, the bound above holds with delta(4) = n(-1) Sigma(n)(j)=1 E vertical bar X-j vertical bar(4) for most selections of a unit vector theta = (theta(1),. . ., theta(n)) is an element of R-n. Here "most" refers to the uniform probability measure on the unit sphere.
KW - Berry-esseen theorem
KW - Central limit theorem
KW - Gaussian distribution
UR - http://www.scopus.com/inward/record.url?scp=84867726378&partnerID=8YFLogxK
U2 - 10.1137/S0040585X97985522
DO - 10.1137/S0040585X97985522
M3 - مقالة
SN - 0040-585X
VL - 56
SP - 403
EP - 419
JO - Theory of Probability and its Applications
JF - Theory of Probability and its Applications
IS - 3
ER -