Pages that link to "Item:Q2811289"
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The following pages link to Nonparametric prediction of spatial multivariate data (Q2811289):
Displaying 17 items.
- Modeling and prediction of multivariate space-time random fields (Q957133) (← links)
- Spatial prediction in the presence of left-censoring (Q1623454) (← links)
- Nonparametric spatial prediction (Q1771234) (← links)
- Prediction of nonlinear spatial functionals (Q1869096) (← links)
- Optimal spatial prediction for non-negative spatial processes using a phi-divergence loss function (Q2087081) (← links)
- On nonparametric conditional quantile estimation for non-stationary random fields (Q2138275) (← links)
- Kernel regression estimation with errors-in-variables for random fields (Q2181193) (← links)
- Spatial regression using kernel averaged predictors (Q2261002) (← links)
- Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method (Q2322619) (← links)
- A new spatial regression estimator in the multivariate context (Q2352226) (← links)
- Variance estimation and kriging prediction for a class of non-stationary spatial models (Q3195192) (← links)
- Indicator Variables in Spatial Prediction When<b>Σ</b>Is Unknown (Q4798089) (← links)
- Strong consistency of a kernel-based rule for spatially dependent data (Q5009834) (← links)
- Asymptotic properties of nonparametric quantile estimation with spatial dependency (Q6068064) (← links)
- Nonparametric Prediction for Spatial Dependent Functional Data Under Fixed Sampling Design (Q6107047) (← links)
- On nonparametric conditional quantile estimation for non-stationary spatial processes (Q6117110) (← links)
- On estimation and prediction in a spatial semi-functional linear regression model with derivatives (Q6646220) (← links)
