Chapter 9. ICA by Maximum Likelihood Estimation

  1. Aapo Hyvärinen,
  2. Juha Karhunen and
  3. Erkki Oja

Published Online: 15 MAY 2002

DOI: 10.1002/0471221317.ch9

Independent Component Analysis

Independent Component Analysis

How to Cite

Hyvärinen, A., Karhunen, J. and Oja, E. (2001) ICA by Maximum Likelihood Estimation, in Independent Component Analysis, John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471221317.ch9

Author Information

  1. Neural Networks Research Center, Helsinki University of Technology, Finland

Publication History

  1. Published Online: 15 MAY 2002
  2. Published Print: 21 MAY 2001

ISBN Information

Print ISBN: 9780471405405

Online ISBN: 9780471221319

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Keywords:

  • independent component analysis (ICA);
  • maximum likelihood estimation;
  • algorithms;
  • infomax principle

Summary

In this chapter, the authors show how to apply maximum likelihood (ML) estimation to independent component analysis (ICA) estimation. They also show its close connection to the neural network principle of maximization of information flow (infomax).