Title :
Neural network for estimating conditional distributions
Author :
Schioler, Henrik ; Kulczycki, Piotr
Author_Institution :
Dept. of Control Eng., Aalborg Univ., Denmark
fDate :
9/1/1997 12:00:00 AM
Abstract :
Neural networks for estimating conditional distributions and their associated quantiles are investigated in this paper. A basic network structure is developed on the basis of kernel estimation theory, and consistency is proved from a mild set of assumptions. A number of applications within statistics, decision theory, and signal processing are suggested, and a numerical example illustrating the capabilities of the elaborated network is given
Keywords :
backpropagation; digital communication; estimation theory; feedforward neural nets; optimal control; probability; signal processing; statistical analysis; backpropagation; conditional distribution estimation; data transmission; digital signal processing; estimation theory; feedforward neural networks; kernel estimation; optimal control; probability; statistics; Backpropagation algorithms; Decision theory; Estimation theory; Feedforward neural networks; Kernel; Neural networks; Random variables; Signal processing; Signal processing algorithms; Statistical distributions;
Journal_Title :
Neural Networks, IEEE Transactions on
