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.
Fabio Nobile, Yoshihito Kazashi
Negar Kiyavash, Seyed Jalal Etesami, Kun Zhang
Pascal Fua, Eduard Trulls Fortuny, Michal Jan Tyszkiewicz