Spatial smoothing, nugget effect and infill asymptotics

DOI10.1016/j.spl.2008.06.002zbMath1489.62299OpenAlexW2041689227MaRDI QIDQ958927

Dag Tjøstheim, Qiwei Yao, Zu-di Lu

Publication date: 10 December 2008

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: http://eprints.lse.ac.uk/24133/

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Adaptively Varying-Coefficient Spatiotemporal Models ⋮ Conditional copulas, association measures and their applications ⋮ On a Semiparametric Data‐Driven Nonlinear Model with Penalized Spatio‐Temporal Lag Interactions ⋮ On nonparametric variogram estimation ⋮ An asymptotic theory for the nugget estimator in spatial models ⋮ Nonparametric Estimation of Probability Density Functions for Irregularly Observed Spatial Data ⋮ Difference based estimators and infill statistics

Cites Work

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• Gaussian maximum likelihood estimation for ARMA models. II: Spatial processes
• Interpolation of spatial data. Some theory for kriging
• Nonlinear time series. Nonparametric and parametric methods
• Adaptively Varying-Coefficient Spatiotemporal Models
• Smoothing for Spatiotemporal Models and Its Application to Modeling Muskrat‐Mink Interaction
• Analysing Data from Hormone-Receptor Assays
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics

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