Entropy minimization for parameter estimation problems with unknown distribution of the output noise

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 6, Issue , 2001, Pages 3993-3996

  Pronzato, L ^a   Thierry, E ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS;

ADDITIVE NOISE; KERNEL ESTIMATE; LINEAR REGRESSION MODEL;

SIGNAL INTERFERENCE;

EID: 0034842192     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. A minimum-entropy estimator for regression problems with unknown distribution of observation errors
2. A minimum-entropy estimator for regression problems with unknown distribution of observation errors
3. On estimation of a probability density function and mode
4. Convergence uniforme d'un estimateur de la densité par la méthode du noyau
5. Estimation of the entropy and information of absolutely continuous random variables
6. Best asymptotic normality of the kernel density entropy estimator for smooth densities
7. On minimum entropy deconvolution
8. On the estimation of functionals of the probability density and its derivatives
9. On smoothed probability density estimation for stationary processes