Spatial spline regression models
成果类型：
Article
署名作者：
Sangalli, Laura M.; Ramsay, James O.; Ramsay, Timothy O.
署名单位：
Polytechnic University of Milan; McGill University; University of Ottawa; Ottawa Hospital Research Institute
刊物名称：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
ISSN/ISSBN：
1369-7412
DOI：
10.1111/rssb.12009
发表日期：
2013
页码：
681-703
关键词：
摘要：
We describe a model for the analysis of data distributed over irregularly shaped spatial domains with complex boundaries, strong concavities and interior holes. Adopting an approach that is typical of functional data analysis, we propose a spatial spline regression model that is computationally efficient, allows for spatially distributed covariate information and can impose various conditions over the boundaries of the domain. Accurate surface estimation is achieved by the use of piecewise linear and quadratic finite elements.
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