Large Deviation Local Limit Theorems for Arbitrary Sequences of Random Variables.

Abstract

The results of W. Richter (Theory Prob. Appl. (1957) 2 206-219) on sums of independent, identically distributed random variables are generalized to arbitrary sequences of random variables Tn. Under simple conditions on the cumulant generating function of Tn, which imply that Tau n/n converges to o, it is shown, for arbitrary sequences (mn) converging to o, that kn(mn), the probability density function of Tn/n at mn, is asymptotic to an expression involving the large deviation rate of Tn/n. Analogous results for lattice random variables are also given. Applications of these results to statistics appearing in nonparametric inference are presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA117513

Entities

People

  • Jayaram Sethuraman
  • Narasinga Rao Chaganty

Organizations

  • Florida State University

Tags

DTIC Thesaurus Topics

  • Data Science
  • Information Science
  • Mathematics
  • Probability
  • Probability Density Functions
  • Random Variables
  • Sequences
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Neural Network Machine Learning.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms