Abstract :
Parzen estimators are often used for nonparametric estimation of probability density functions. The smoothness of such an estimation is controlled by the smoothing parameter. A problem-dependent criterion for its value is proposed and illustrated by some examples. Especially in multimodal situations, this criterion led to good results.
Keywords :
Data analysis, multidimensional probability density function, multimodal probability density function, Parzen estimators, pattern recognition, smoothing.; Covariance matrix; Kernel; Optimization methods; Parameter estimation; Physics; Probability density function; Smoothing methods; Yield estimation; Data analysis, multidimensional probability density function, multimodal probability density function, Parzen estimators, pattern recognition, smoothing.;
