Large deviations for truncated heavy-tailed random variables: A boundary case
Article Type
Research Article
Publication Title
Indian Journal of Pure and Applied Mathematics
Abstract
This paper investigates the decay rate of the probability that the row sum of a triangular array of truncated heavy tailed random variables is larger than an integer (k) times the truncating threshold, as both - the number of summands and the threshold go to infinity. The method of attack for this problem is significantly different from the one where k is not an integer, and requires much sharper estimates.
First Page
671
Last Page
703
DOI
10.1007/s13226-017-0250-7
Publication Date
12-1-2017
Recommended Citation
Chakrabarty, Arijit, "Large deviations for truncated heavy-tailed random variables: A boundary case" (2017). Journal Articles. 2310.
https://digitalcommons.isical.ac.in/journal-articles/2310
Comments
Open Access, Green