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Linear And Nonlinear Associative Memories For Parameter Estimation

Author

Listed:
  • KALABA, R.
  • LICHTENSTEIN, Z.
  • TESFATSION, L.

Abstract

This article discusses the use of associative memories for obtaining preliminary parameter estimates for nonlinear systems. Annotated pointers to related work can be accessed at http://www2.econ.iastate.edu/tesfatsi/vita.htm#MAM
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Kalaba, R. & Lichtenstein, Z. & Tesfatsion, L., 1989. "Linear And Nonlinear Associative Memories For Parameter Estimation," Papers m8913, Southern California - Department of Economics.
  • Handle: RePEc:fth:socaec:m8913
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    Cited by:

    1. Naga, Palavadi & Fan, Yueyue, 2008. "Quick Estimation of Network Performance Measures Using Associative Memory Techniques," Institute of Transportation Studies, Working Paper Series qt8hd526wh, Institute of Transportation Studies, UC Davis.
    2. R E Kalaba & J E Moore II & R Xu & G J Chen, 1999. "Nonlinear Estimation with Associative Memories and Machine Evaluation of Derivatives: An Application to Calibrating Spatial Interaction Models," Environment and Planning A, , vol. 31(3), pages 441-457, March.

    More about this item

    Keywords

    linear models ; econometrics ; estimator;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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