We recall that mixture models have been widely used in pattern recognition and statistics to approximate probability distributions.
a well-known nonparametric method for density estimation is the so-called Kernel Method (Silverman, 1986), which approximates an unknow density with a mixture of kernel functions, such as gaussians functions.