Pages that link to "Item:Q921787"
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The following pages link to Kernel density estimation on random fields (Q921787):
Displaying 50 items.
- Asymptotic normality of a smooth estimate of a random field distribution function under association (Q1897099) (← links)
- On bandwidth choice for density estimation with dependent data (Q1922388) (← links)
- Kernel spatial density estimation in infinite dimension space (Q1938874) (← links)
- Dimension reduction in spatial regression with kernel SAVE method (Q2034752) (← links)
- Spatially smoothed kernel densities with application to crop yield distributions (Q2084428) (← links)
- Estimation for partially linear additive regression with spatial data (Q2110355) (← links)
- On nonparametric conditional quantile estimation for non-stationary random fields (Q2138275) (← links)
- Expectile regression for spatial functional data analysis (sFDA) (Q2142464) (← links)
- Limit theorems for linear random fields with innovations in the domain of attraction of a stable law (Q2145788) (← links)
- Kernel regression estimation with errors-in-variables for random fields (Q2181193) (← links)
- A note on exponential inequalities in Hilbert spaces for spatial processes with applications to the functional kernel regression model (Q2223166) (← links)
- Estimation of the trend function and auto-covariance for spatial models (Q2280093) (← links)
- On the Nadaraya-Watson kernel regression estimator for irregularly spaced spatial data (Q2301049) (← links)
- Exploring spectral density estimation for spatial linear process with mixing innovations (Q2302708) (← links)
- Spatial mode estimation for functional random fields with application to bioturbation problem (Q2319558) (← links)
- Conditional hazard estimate for functional random fields (Q2320899) (← links)
- Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method (Q2322619) (← links)
- Wavelet thresholding in fixed design regression for Gaussian random fields (Q2338566) (← links)
- Nonparametric adaptive density estimation on random fields using wavelet method (Q2339576) (← links)
- Local linear spatial regression (Q2388333) (← links)
- Density estimation for spatial-temporal models (Q2392918) (← links)
- On local linear regression for strongly mixing random fields (Q2400820) (← links)
- Consistency of a nonparametric conditional quantile estimator for random fields (Q2437882) (← links)
- Estimating spatial quantile regression with functional coefficients: a robust semiparametric framework (Q2444662) (← links)
- Moment inequalities for spatial processes (Q2483441) (← links)
- Kernel estimation of density level sets (Q2489497) (← links)
- Frequency poligons for random fields. (Q2499675) (← links)
- Estimation in semiparametric spatial regression (Q2500457) (← links)
- On the consistency of mode estimate for spatially dependent data (Q2696332) (← links)
- Asymptotic behaviour of binned kernel density estimators for locally non-stationary random fields (Q2811281) (← links)
- Nonparametric prediction of spatial multivariate data (Q2811289) (← links)
- On the functional local linear estimate for spatial regression (Q2909816) (← links)
- Asymptotic normality of kernel estimates in a regression model for random fields (Q3068115) (← links)
- Local Linear M-estimation in non-parametric spatial regression (Q3077650) (← links)
- Fixed design regression for negatively associated random fields (Q3619663) (← links)
- Kernel Estimators for Distribution Functions on Dependent Random Fields (Q3652782) (← links)
- On Regularity Conditions for Random Fields (Q4300984) (← links)
- Kernel density estimation for random fields: The<i>L</i><sub>1</sub>Theory (Q4345893) (← links)
- Non-parametric regression for spatially dependent data with wavelets (Q4559353) (← links)
- Exact moderate and large deviations for linear random fields (Q4684950) (← links)
- Kernel Estimators for Additive Models with Dependent Observations from Random Fields (Q4921637) (← links)
- Nonparametric Estimation of Probability Density Functions for Irregularly Observed Spatial Data (Q4975625) (← links)
- Local linear estimate of the point at high risk: Spatial functional data case (Q5077204) (← links)
- Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method (Q5077234) (← links)
- Spatial local linear estimation of the <i>L</i><sub>1</sub>-conditional quantiles for functional regressors (Q5078052) (← links)
- Consistency of the simple mode of a density for spatial processes (Q5078832) (← links)
- Asymptotic results of semi-functional partial linear regression estimate under functional spatial dependency (Q5104521) (← links)
- Robust estimation for functional coefficient regression models with spatial data (Q5169773) (← links)
- B-spline estimation for spatial data (Q5189269) (← links)
- B-spline estimation for semiparametric varying-coefficient partially linear regression with spatial data (Q5299882) (← links)
