A Natural Approach for Detecting Causal Relationship in Time Series.

Abstract

A definition of causality given by C.W.J. Granger lends itself to statistical hypothesis testing for identifying the causal relationship between two time series. The appropriate statistical analysis to be used, however, is not apparent from the definition. One's first impression is to regress present values of one time series on past values of both time series. There are, however, several weaknesses inherent in this procedure. Natural modifications of this procedure lead eventually to a Box-Jenkins approach for suitably preprocessing the time series followed by a regression analysis of the residuals, and analysis which identifies the causal structure between the two time series. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 23, 1976
Accession Number
ADA048529

Entities

People

  • Frederick W. Morgan
  • M. Edwin Ireland

Organizations

  • Clemson University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Autocorrelation
  • Coefficients
  • Covariance
  • Cross Correlation
  • Data Analysis
  • Data Mining
  • Data Science
  • Equations
  • Estimators
  • Information Science
  • Noise
  • Regression Analysis
  • Residuals
  • Stationary
  • Statistical Analysis
  • Statistics
  • White Noise

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Statistical inference.