REPORT gilardi-rr-02-03/IDIAP Estimation of Conditional Distributions using Gaussian Mixture Models Gilardi, Nicolas Bengio, Samy Kanevski, Mikhail EXTERNAL http://publications.idiap.ch/attachments/reports/2002/rr02-03.pdf PUBLIC Idiap-RR-03-2002 2002 IDIAP Submitted to ICANN 2002 This 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.