Understanding the stochastic partial differential equation approach to smoothing

DOI10.1007/s13253-019-00377-zOpenAlexW2974377754WikidataQ114220114 ScholiaQ114220114MaRDI QIDQ782712

Richard Glennie, David L. Miller, Andrew E. Seaton

Publication date: 28 July 2020

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2001.07623

zbMATH Keywords

smoothingstochastic partial differential equationsgeneralized additive modelspatial modellingbasis-penalty smoothing

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (2)

A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling ⋮ Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions

Uses Software

• R
• fda (R)
• lme4
• GMRFLib
• mgcv
• JAGS
• Stan
• gamair
• Stem
• TMB

Cites Work

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• A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
• ON STATIONARY PROCESSES IN THE PLANE

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