Almost Sure Invariance Principles for Continuous Parameter Stochastic Processes,

Abstract

In Philipp and Stout (1974a, University of Illinois preprint) almost sure invariance principles are established for certain discrete parameter stochastic processes. This work is summarized in Philipp and Stout (1974b, University of North Carolina Department of Statistics Mimeo Series No. 950). These results of Philipp and Stout can be extended in a straightforward manner to continuous parameter stochastic processes. This is carried out in this paper for processes whose increments are either jointly Gaussian or phi-mixing.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1974
Accession Number
ADA001803

Entities

People

  • Walter Philipp
  • William F. Stout

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Continents
  • Cooperation
  • Data Science
  • Geographic Regions
  • Illinois
  • Information Science
  • Invariance
  • Mathematics
  • North America
  • North Carolina
  • Statistics
  • Stochastic Processes
  • United States
  • Universities

Fields of Study

  • Mathematics

Readers

  • Military Training and Readiness Simulation
  • Statistical inference.