AbstractIn this paper strong consistency and uniform complete consistency of the nonparametric density estimator proposed by D. O. Loftsgaarden and C. D. Quesenberry (Ann. Math. Statist. 36 (1965), 1049–1051) is proved for ϕ-mixing and α-mixing processes
AbstractBased on a random sample from a population with (unknown) probability density f, this note e...
This paper considers Bayesian nonparametric estimation of conditional densities by countable mixture...
AbstractFor a well-known class of nonparametric regression function estimators of nearest neighbor t...
AbstractIn this paper a method for obtaining a.s. consistency in nonparametric estimation is present...
AbstractLet {Xj: j ⩾ 1} be a real-valued stationary process. Recursive kernel estimators of the join...
AbstractLet {Xj} ∞j=−∞ be a real-valued stationary process. Recursive kernel estimators of the joint...
AbstractIn this paper, we propose a new family of density estimates closely related to the nearest n...
AbstractIn this paper a method for obtaining a.s. consistency in nonparametric estimation is present...
AbstractWe investigate nonparametric curve estimation (including density, distribution, hazard, cond...
AbstractLet {Xj: j ⩾ 1} be a real-valued stationary process. Recursive kernel estimators of the join...
In this paper a method for obtaining a.s. consistency in nonparametric estimation is presented which...
AbstractLet X1,…,Xn be n consecutive observations of a linear process X1=μ+∑r=0∞ArZt−r, where μ is a...
AbstractConsider the nonparametric regression model Yi(n) = g(xi(n)) + εi(n), i = 1, …, n, where g i...
AbstractWe consider the estimation of the multivariate probability density functions of stationary r...
Let s{;Xns};, n [greater-or-equal, slanted] 1, be a stationary [alpha]-mixing sequence of real-value...
AbstractBased on a random sample from a population with (unknown) probability density f, this note e...
This paper considers Bayesian nonparametric estimation of conditional densities by countable mixture...
AbstractFor a well-known class of nonparametric regression function estimators of nearest neighbor t...
AbstractIn this paper a method for obtaining a.s. consistency in nonparametric estimation is present...
AbstractLet {Xj: j ⩾ 1} be a real-valued stationary process. Recursive kernel estimators of the join...
AbstractLet {Xj} ∞j=−∞ be a real-valued stationary process. Recursive kernel estimators of the joint...
AbstractIn this paper, we propose a new family of density estimates closely related to the nearest n...
AbstractIn this paper a method for obtaining a.s. consistency in nonparametric estimation is present...
AbstractWe investigate nonparametric curve estimation (including density, distribution, hazard, cond...
AbstractLet {Xj: j ⩾ 1} be a real-valued stationary process. Recursive kernel estimators of the join...
In this paper a method for obtaining a.s. consistency in nonparametric estimation is presented which...
AbstractLet X1,…,Xn be n consecutive observations of a linear process X1=μ+∑r=0∞ArZt−r, where μ is a...
AbstractConsider the nonparametric regression model Yi(n) = g(xi(n)) + εi(n), i = 1, …, n, where g i...
AbstractWe consider the estimation of the multivariate probability density functions of stationary r...
Let s{;Xns};, n [greater-or-equal, slanted] 1, be a stationary [alpha]-mixing sequence of real-value...
AbstractBased on a random sample from a population with (unknown) probability density f, this note e...
This paper considers Bayesian nonparametric estimation of conditional densities by countable mixture...
AbstractFor a well-known class of nonparametric regression function estimators of nearest neighbor t...
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