Modelling conditional probability distributions for periodic variables

Nabney, Ian T and Bishop, Christopher M. (1995). Modelling conditional probability distributions for periodic variables. IN: Proceedings International Conference on Artificial Neural Networks ICANN'95. Fougelman-Soulie, F. and Gallinari, P. (eds) Paris (FR): EC2 et Cie.

Abstract

Most of the common techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we apply two novel techniques to the problem of extracting the distribution of wind vector directions from radar catterometer data gathered by a remote-sensing satellite.

Divisions: Engineering & Applied Sciences > Computer science
Additional Information: International Conference on Artificial Neural Networks, Paris (FR), October 2005.
Event Title: International Conference on Artificial Neural Networks
Event Type: Other
Event Dates: 1995-10-01
Uncontrolled Keywords: estimating conditional probability densities,periodic variables,distribution of wind vector directions,radar scatterometer data,remote-sensing satellite
Published Date: 1995

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