Chapter

Mathematics of Neural Networks

Volume 8 of the series Operations Research/Computer Science Interfaces Series pp 118-122

Modelling Conditional Probability Distributions for Periodic Variables

  • Christopher M. BishopAffiliated withNeural Computing Research Group, Aston University
  • , Ian T. NabneyAffiliated withNeural Computing Research Group, Aston University

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Abstract

Most conventional techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we introduce three related techniques for tackling such problems, and test them using synthetic data. We then apply them to the problem of extracting the distribution of wind vector directions from radar scatterometer data.