Pages that link to "Item:Q5297092"
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The following pages link to A note on kernel density estimation at a parametric rate† (Q5297092):
Displaying 17 items.
- Multivariate wavelet density and regression estimators for stationary and ergodic continuous time processes: asymptotic results (Q258033) (← links)
- Statistical tests in the partially linear additive regression models (Q1731204) (← links)
- Exact and asymptotically optimal bandwidths for kernel estimation of density functionals (Q1930602) (← links)
- Reduced bias nonparametric lifetime density and hazard estimation (Q2220798) (← links)
- Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes (Q2231589) (← links)
- Fast multivariate empirical cumulative distribution function with connection to kernel density estimation (Q2242044) (← links)
- A note on superkernel density estimators (Q2261913) (← links)
- Fourier methods for smooth distribution function estimation (Q2444403) (← links)
- Some uniform consistency results in the partially linear additive model components estimation (Q2807768) (← links)
- Additive regression model for stationary and ergodic continuous time processes (Q2979007) (← links)
- On density estimation with superkernels (Q3145387) (← links)
- On the uniform-in-bandwidth consistency of the general conditional<i>U</i>-statistics based on the copula representation (Q5012349) (← links)
- Some results about kernel estimators for function derivatives based on stationary and ergodic continuous time processes with applications (Q5079799) (← links)
- On the variable bandwidth kernel estimation of conditional \(U\)-statistics at optimal rates in sup-norm (Q6167703) (← links)
- General tests of conditional independence based on empirical processes indexed by functions (Q6176225) (← links)
- On a new higher order kernel for density estimation (Q6548765) (← links)
- Uniform-in-bandwidth consistency results in the partially linear additive model components estimation (Q6549200) (← links)
