In this note, the authors propose a new nonparametric method of estimation of density using orthonormal systems iteratively. The asymptotic mean integrated square error of the estimate at each stage is less than or equal to that of the preceding stage. The new estimate is better, in some cases, than the traditional estimate based upon orthonormal functions from the point of view of the mean integrated square error in the limit.pattern recognition reliability survival analysis orthonormal systems estimation of density nonparametric methods
A new method for bias reduction in nonparametric density estimation is proposed. The method is a sim...
The object of the present study is to summarize recent developments in nonparametric density estimat...
We introduce simple nonparametric density estimators that generalize the classical histogram and fre...
AbstractIn this note, the authors propose a new nonparametric method of estimation of density using ...
In this paper, an iterative estimate of the multivariate density is proposed when the variables are ...
International audienceIn statistics, it is usually difficult to estimate the probability density fun...
New nonparametric procedure for estimating the probability density function of a positive random var...
There exist many ways to estimate the shape of the underlying density. Generally, we can categorize ...
AbstractIn this paper, an iterative estimate of the multivariate density is proposed when the variab...
Density estimation has a long history in statistics. There are two main approaches to density, estim...
We review different approaches to nonparametric density and regression estimation. Kernel estimators...
The application of nonparametric probability density function estimation for the purpose of data ana...
Key words and phrases Nonparametric density estimation monotone density symmetric unimodal density...
Density estimation has a long history in statistics. There are two main approaches to density, estim...
Density estimation refers to a family of techniques that attempt to model the statistics (e.g. the p...
A new method for bias reduction in nonparametric density estimation is proposed. The method is a sim...
The object of the present study is to summarize recent developments in nonparametric density estimat...
We introduce simple nonparametric density estimators that generalize the classical histogram and fre...
AbstractIn this note, the authors propose a new nonparametric method of estimation of density using ...
In this paper, an iterative estimate of the multivariate density is proposed when the variables are ...
International audienceIn statistics, it is usually difficult to estimate the probability density fun...
New nonparametric procedure for estimating the probability density function of a positive random var...
There exist many ways to estimate the shape of the underlying density. Generally, we can categorize ...
AbstractIn this paper, an iterative estimate of the multivariate density is proposed when the variab...
Density estimation has a long history in statistics. There are two main approaches to density, estim...
We review different approaches to nonparametric density and regression estimation. Kernel estimators...
The application of nonparametric probability density function estimation for the purpose of data ana...
Key words and phrases Nonparametric density estimation monotone density symmetric unimodal density...
Density estimation has a long history in statistics. There are two main approaches to density, estim...
Density estimation refers to a family of techniques that attempt to model the statistics (e.g. the p...
A new method for bias reduction in nonparametric density estimation is proposed. The method is a sim...
The object of the present study is to summarize recent developments in nonparametric density estimat...
We introduce simple nonparametric density estimators that generalize the classical histogram and fre...