Add to ORKGNon parametric estimation of the gradient of the density function in the multivariate case.Winzer, Nelida.41 págs.Nivel analíticosemestra
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
Non-parametric density estimation methods are more flexible than parametric methods, due to the fact...
Non-parametric density estimation methods are more flexible than parametric methods, due to the fact...
Non parametric estimation of the gradient of the density function in the multivariate case.Winzer, N...
Non-parametric density estimation is the problem of approximating the values of a probability densit...
New nonparametric procedure for estimating the probability density function of a positive random var...
We consider the problem of multivariate density estimation, using samples from the distribution of i...
Key words and phrases Nonparametric density estimation monotone density symmetric unimodal density...
International audienceIn statistics, it is usually difficult to estimate the probability density fun...
Nonparametric estimation of the copula function using Bernstein polynomials is studied. Convergence ...
In this paper conditions of asymptotic normality of the recursive estimate based on a random numbe...
Typescript (photocopy).Digitized by Kansas Correctional IndustriesDepartment: Statistics
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
Typescript (photocopy).Digitized by Kansas Correctional IndustriesDepartment: Statistics
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
Non-parametric density estimation methods are more flexible than parametric methods, due to the fact...
Non-parametric density estimation methods are more flexible than parametric methods, due to the fact...
Non parametric estimation of the gradient of the density function in the multivariate case.Winzer, N...
Non-parametric density estimation is the problem of approximating the values of a probability densit...
New nonparametric procedure for estimating the probability density function of a positive random var...
We consider the problem of multivariate density estimation, using samples from the distribution of i...
Key words and phrases Nonparametric density estimation monotone density symmetric unimodal density...
International audienceIn statistics, it is usually difficult to estimate the probability density fun...
Nonparametric estimation of the copula function using Bernstein polynomials is studied. Convergence ...
In this paper conditions of asymptotic normality of the recursive estimate based on a random numbe...
Typescript (photocopy).Digitized by Kansas Correctional IndustriesDepartment: Statistics
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
Typescript (photocopy).Digitized by Kansas Correctional IndustriesDepartment: Statistics
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
We consider the problem of the nonparametric minimax estimation of a multivariate density at a given...
Non-parametric density estimation methods are more flexible than parametric methods, due to the fact...
Non-parametric density estimation methods are more flexible than parametric methods, due to the fact...