Add to ORKGIn this paper, an iterative estimate of the multivariate density is proposed when the variables are binary in nature. Some properties of this estimate are also discussed. Finally, applications of this estimate are discussed in the areas of pattern recognition and reliability.Binary data character recognition estimation of density failure modes medical diagnosis pattern recognition and reliability
In this work, three extensions of univariate nonparametric probability density estimators into two d...
The problem of nonparametric estimation of the joint probability density of a vector of continuous a...
AbstractFor the purpose of comparing different nonparametric density estimators, Wegman (J. Statist....
AbstractIn this paper, an iterative estimate of the multivariate density is proposed when the variab...
In this note, the authors propose a new nonparametric method of estimation of density using orthonor...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
AbstractWe consider the problem of estimating the support of a multivariate density based on contami...
This paper presents an algorithm for efficient multivariate density estimation, using a blockized im...
A new multivariate density estimator suitable for pattern classifier design is proposed. The data ar...
We consider the problem of multivariate density estimation, using samples from the distribution of i...
Typescript (photocopy).A technique for modeling bivariate data that is based on the theory of orthog...
This thesis proposes nonparametric methods for the estimation of univariate density in a unit interv...
In this paper, we propose a theoretical analysis of the algorithm ISDE, introduced in previous work....
The estimation of density functions for positive multivariate data is discussed. The proposed approa...
In this work, three extensions of univariate nonparametric probability density estimators into two d...
The problem of nonparametric estimation of the joint probability density of a vector of continuous a...
AbstractFor the purpose of comparing different nonparametric density estimators, Wegman (J. Statist....
AbstractIn this paper, an iterative estimate of the multivariate density is proposed when the variab...
In this note, the authors propose a new nonparametric method of estimation of density using orthonor...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
We propose a new nonparametric estimator for the density function of multivariate bounded data. As f...
AbstractWe consider the problem of estimating the support of a multivariate density based on contami...
This paper presents an algorithm for efficient multivariate density estimation, using a blockized im...
A new multivariate density estimator suitable for pattern classifier design is proposed. The data ar...
We consider the problem of multivariate density estimation, using samples from the distribution of i...
Typescript (photocopy).A technique for modeling bivariate data that is based on the theory of orthog...
This thesis proposes nonparametric methods for the estimation of univariate density in a unit interv...
In this paper, we propose a theoretical analysis of the algorithm ISDE, introduced in previous work....
The estimation of density functions for positive multivariate data is discussed. The proposed approa...
In this work, three extensions of univariate nonparametric probability density estimators into two d...
The problem of nonparametric estimation of the joint probability density of a vector of continuous a...
AbstractFor the purpose of comparing different nonparametric density estimators, Wegman (J. Statist....