AbstractThe almost sure convergence of the kernel-type density estimate is proved for a strictly stationary ergodic sample
The main result of this paper is summarized in Theorem 1, which states that when certain conditions ...
In this paper, we establish a new proof of uniform consistency of kernel estimator of density functi...
ABSTRACT. – Let fn denote the usual kernel density estimator in several dimensions. It is shown that...
The almost sure convergence of the kernel-type density estimate is proved for a strictly stationary ...
AbstractThe almost sure convergence of the kernel-type density estimate is proved for a strictly sta...
textabstractWe prove a theorem on the uniform convergence of the local time of an ergodic diffusion....
Various consistency proofs for the kernel density estimator have been developed over the last few d...
In this work, we studied the strong consistency for a class of estimates for a transition density of...
© 2018 Hanyuan Hang, Ingo Steinwart, Yunlong Feng and Johan A.K. Suykens. We study the density estim...
We investigate the uniform convergence of the density of the empirical measure of an ergodic diffusi...
textabstractFor ergodic diffusions, we consider kernel-type estimators for the invariant density, it...
We specify conditions under which kernel density estimate for linear process is weakly and strongly ...
Let X be an -valued random variable with unknown density f. Let X1,...,Xn be i.i.d. random variables...
A method is proposed for creating a smooth kernel density estimate from a sample of binned data. Sim...
25 pagesIn this paper, under natural and easily verifiable conditions, we prove the $\mathbb{L}^1$-c...
The main result of this paper is summarized in Theorem 1, which states that when certain conditions ...
In this paper, we establish a new proof of uniform consistency of kernel estimator of density functi...
ABSTRACT. – Let fn denote the usual kernel density estimator in several dimensions. It is shown that...
The almost sure convergence of the kernel-type density estimate is proved for a strictly stationary ...
AbstractThe almost sure convergence of the kernel-type density estimate is proved for a strictly sta...
textabstractWe prove a theorem on the uniform convergence of the local time of an ergodic diffusion....
Various consistency proofs for the kernel density estimator have been developed over the last few d...
In this work, we studied the strong consistency for a class of estimates for a transition density of...
© 2018 Hanyuan Hang, Ingo Steinwart, Yunlong Feng and Johan A.K. Suykens. We study the density estim...
We investigate the uniform convergence of the density of the empirical measure of an ergodic diffusi...
textabstractFor ergodic diffusions, we consider kernel-type estimators for the invariant density, it...
We specify conditions under which kernel density estimate for linear process is weakly and strongly ...
Let X be an -valued random variable with unknown density f. Let X1,...,Xn be i.i.d. random variables...
A method is proposed for creating a smooth kernel density estimate from a sample of binned data. Sim...
25 pagesIn this paper, under natural and easily verifiable conditions, we prove the $\mathbb{L}^1$-c...
The main result of this paper is summarized in Theorem 1, which states that when certain conditions ...
In this paper, we establish a new proof of uniform consistency of kernel estimator of density functi...
ABSTRACT. – Let fn denote the usual kernel density estimator in several dimensions. It is shown that...