A New Look at Bergstrom’s Theorem on Convergence in Distribution for Sums of Dependent Random Variables

Authors

Henry A. Krieger, Harvey Mudd CollegeFollow

Document Type

Article

Department

Mathematics (HMC)

Publication Date

1984

Abstract

In his 1972 Periodica Mathematica Hungarica paper, H. Bergström stated a theorem on convergence in distribution for triangular arrays of dependent random variables satisfying, a ϕ-mixing condition. A gap in his proof of this theorem is explained and a more general version is proved under weakened hypotheses. The method used consists of comparisons between the given array and associated arrays which are parameterized by a truncation variable. In addition to the main theorem, this method yields a proof of equality of limiting finite-dimensional distributions for processes generated by the given associated arrays as well as the result that if a limit distribution for the centered row sums does exist, it must be infinitely divisible. Several corollaries to the main theorem specialize this result for convergence to distributions within certain subclasses of the infinitely divisible laws.

Rights Information

© 1984 Springer-Verlag

DOI

10.1007/BF02760561

Recommended Citation

Krieger, H. “A New Look at Bergstrom’s Theorem on Convergence in Distribution for Sums of Dependent Random Variables”, Israel Journal of Mathematics, Vol. 47, No. 1, (1984), 32-65. DOI: 10.1007/BF02760561