Gilardi, NicolasBengio, SamyKanevski, Mikhail2006-03-102006-03-102006-03-102002https://infoscience.epfl.ch/handle/20.500.14299/228122This paper proposes the use of Gaussian Mixture Models to estimate conditional probability density functions. A conditional Gaussian Mixture Model has been compared to the geostatistical method of Sequential Gaussian Simulations. The data set used is a part of the digital elevation model of Switzerland.learningEstimation of Conditional Distributions using Gaussian Mixture Modelstext::report