EMPIRICAL NONLINEAR PREDICTION AND POLYSPECTRA.

Abstract

The classical linear prediction problem has received much attention both theoretically and empirically in the past few decades and a great deal is known about it (though there remain important open questions). The nonlinear prediction problem is much more difficult and much less is known about it. The present paper discusses a means of obtaining certain two-sided nonlinear predictors of a stationary process (X(t,w)) given a jointly stationary process (Y(t,w)). (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 12, 1966
Accession Number
AD0640868

Entities

People

  • John W. Van Ness

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Probability
  • Stationary
  • Stationary Processes
  • Statistical Analysis

Readers

  • Statistical inference.
  • Theoretical Analysis.