The aim of this reported work is to extend a recent, simple and effective algorithm for the estimation of the probability density function and cumulative density function to the case of bidimensional random vectors. The algorithm is based on an information maximisation approach. The nonlinear bidimensional function involved in the algorithm is adaptively modified during learning and is implemented by using a bidimensional spline function.
Flexible estimation of joint probability and joint cumulative density functions / Scarpiniti, Michele; Parisi, Raffaele; Uncini, Aurelio. - In: ELECTRONICS LETTERS. - ISSN 0013-5194. - 46:15(2010), pp. 1084-1086. [10.1049/el.2010.1307]
Flexible estimation of joint probability and joint cumulative density functions
SCARPINITI, MICHELE;PARISI, Raffaele;UNCINI, Aurelio
2010
Abstract
The aim of this reported work is to extend a recent, simple and effective algorithm for the estimation of the probability density function and cumulative density function to the case of bidimensional random vectors. The algorithm is based on an information maximisation approach. The nonlinear bidimensional function involved in the algorithm is adaptively modified during learning and is implemented by using a bidimensional spline function.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
