Kernel estimates under association: Strong uniform consistency
From MaRDI portal
Publication:1186645
DOI10.1016/0167-7152(91)90028-PzbMath0746.62045OpenAlexW2061060422MaRDI QIDQ1186645
Publication date: 28 June 1992
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(91)90028-p
rate of convergencehazard rate estimationkernel estimatorassociated random variablesstrong uniform consistencystrictly stationary process\(r\) th order derivative
Related Items
Some maximal inequalities and complete convergences of negatively associated random sequences, A Note on the Convergence Rate of Strong Law of Large Numbers for Positively Associated Sequences, A general method of density estimation for associated random variables, Density estimation for associated sampling: A point process influenced approach, Histogram estimation of radon-nikodym derivatives for strong mixing data, Asymptotic normality of a smooth estimate of a random field distribution function under association, Kernel-type density and failure rate estimation for associated sequences, Minimum Hellinger distance estimation for discretely observed stochastic processes using recursive kernel density estimator, Rate of Convergence of Strong Law of Large Numbers for Positively Associated Sequences, Covariance and comparison inequalities under quadrant dependence, Conditional Quantile Estimation for Truncated and Associated Data, On bandwidth choice for density estimation with dependent data, Smooth estimate of quantiles under association, Asymptotic results for truncated-censored and associated data, Insensitivity of Nadaraya–Watson estimators to design correlation, Kernel density estimation under negative superadditive dependence and its application for real data, Some inequalities for strong mixing random variables with applications to density estimation, Universal kernel-type estimation of random fields, kNN robustification equivariant nonparametric regression estimators for functional ergodic data, Exponential inequality for associated random variables, Maximal inequality and complete convergence of non-identically distributed negatively associated sequences, Universal weighted kernel-type estimators for some class of regression models, Weak convergence for stationary bootstrap empirical processes of associated sequences, Uniform strong estimation under \(\alpha\)-mixing, with rates, Some exponential inequalities for positively associated random variables and rates of convergence of the strong law of large numbers, Generalized covariance inequalities, An Esseen-type inequality for probability density functions, with an application, On the strong convergence rate for positively associated random variables, A note on the Lynden-Bell estimator under association, Exponential rates for kernel density estimation under association, Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes, Estimation of the Mean Measure Density of a Discrete Random Measure Through Associated Sequences of Observations, Uniformly root-\(n\) consistent density estimators for weakly dependent invertible linear proc\-esses, Tightness criterion and weak convergence for the generalized empirical process in \(D[0, 1\)], On kernel density and mode estimates for associated and censored data, Asymptotic Properties of Error Density Estimator in Regression Model Under α-Mixing Assumptions, Kaplan-Meier estimator under association, Asymptotic normality of two-sample linear rank statistics under association, Weak dependence beyond mixing and asymptotics for nonparametric regression, On the blockwise bootstrap for empirical processes for stationary sequences, Multivariate probability density estimation for associated processes: Strong consistency and rates.
Cites Work
- Moment bounds for associated sequences
- Nonparameteric estimation in mixing sequences of random variables
- Normal fluctuations and the FKG inequalities
- Association of Random Variables, with Applications
- Estimation of a Probability Density Function and Its Derivatives
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item