Pages that link to "Item:Q1421857"
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The following pages link to Kernel density estimation for spatial processes: The \(L_{1}\) theory (Q1421857):
Displaying 42 items.
- Consistency of a nonparametric conditional mode estimator for random fields (Q257634) (← links)
- Asymptotic normality of the Parzen-Rosenblatt density estimator for strongly mixing random fields (Q453773) (← links)
- Histograms for stationary linear random fields (Q466055) (← links)
- On spatial processes and asymptotic inference under near-epoch dependence (Q528034) (← links)
- Local linear spatial quantile regression (Q605017) (← links)
- Frequency polygons for continuous random fields (Q625317) (← links)
- Asymptotic theory for nonparametric regression with spatial data (Q738039) (← links)
- Nonparametric spatial regression under near-epoch dependence (Q738148) (← links)
- Asymptotic normality of a nonparametric conditional quantile estimator for random fields (Q764784) (← links)
- Asymptotic normality of kernel type density estimators for random fields (Q849860) (← links)
- Nonparametric regression estimation for random fields in a fixed-design (Q882908) (← links)
- Robust estimation for spatial semiparametric varying coefficient partially linear regression (Q894868) (← links)
- Kernel regression estimation for continuous spatial processes (Q926975) (← links)
- Local linear M-estimation for spatial processes in fixed-design models (Q964814) (← links)
- Nonparametic estimation of the conditional mode in the spatial case (Q990215) (← links)
- Asymptotic properties of nonparametric regression for long memory random fields (Q1044078) (← links)
- Kernel spatial density estimation in infinite dimension space (Q1938874) (← links)
- Spatially smoothed kernel densities with application to crop yield distributions (Q2084428) (← links)
- Empirical likelihood for nonparametric regression models with spatial autoregressive errors (Q2131999) (← links)
- Evaluating trends in time series of distributions: a spatial fingerprint of human effects on climate (Q2280619) (← links)
- Local linear spatial regression (Q2388333) (← links)
- Density estimation for spatial-temporal models (Q2392918) (← links)
- On the consistency of a new kernel rule for spatially dependent data (Q2406805) (← links)
- Local Whittle likelihood estimators and tests for spatial lattice data (Q2411293) (← links)
- Consistency of a nonparametric conditional quantile estimator for random fields (Q2437882) (← links)
- Exploring spatial nonlinearity using additive approximation (Q2465273) (← links)
- Moment inequalities for spatial processes (Q2483441) (← links)
- Frequency poligons for random fields. (Q2499675) (← links)
- Estimation in semiparametric spatial regression (Q2500457) (← links)
- Asymptotic behaviour of binned kernel density estimators for locally non-stationary random fields (Q2811281) (← links)
- Study of spatial relationships between two sets of variables: a nonparametric approach (Q2863044) (← links)
- Asymptotic normality of kernel estimates in a regression model for random fields (Q3068115) (← links)
- <i>L</i><sub>1</sub>-estimation for spatial nonparametric regression (Q3529840) (← links)
- Exact moderate and large deviations for linear random fields (Q4684950) (← 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)
- B-spline estimation for semiparametric varying-coefficient partially linear regression with spatial data (Q5299882) (← links)
- Constructing valid spatial processes on the sphere using kernel convolutions (Q6069106) (← links)
- Nonparametric testing for the specification of spatial trend functions (Q6097554) (← links)
- Asymptotic spectral theory for spatial data (Q6170742) (← links)
- Multivariate frequency polygon for stationary random fields (Q6197121) (← links)
- Nonparametric construction of probability maps under local stationarity (Q6625847) (← links)
