Advances in spatial functional statistics

doi:10.1007/s00477-016-1346-z

2016-11-16

Jorge Mateu *

Elvira Romano

DOI：10.1007/s00477-016-1346-z

原文链接

查看原文

摘要

En 中文

This is the editorial letter for the special issue dedicated to Spatial Functional Statistics, motivated by the joint VII International Workshop on Spatio-temporal Modelling (METMAVII) and the 2014 meeting of the research group for Statistical Applications to Environmental Problems (GRASPA14), which took place in Turin (Italy) from 10 to 12 September 2014. This special issue summarises and discusses peer-reviewed contributions related to the analysis of functional data showing complex characteristics such as spatial dependence structures. The selection of papers comprises both new methodological proposals and a wide range of applications. In particular, we cover a wide range of statistical aspects, comprising prediction of functional data with spatial dependence, optimal sampling designs using functional covariates, non-parametric clustering methods for dependent functional data, and depth measures for spatially dependent functional data.

Keyword:

Depth functions

Functional data

Functional regression

Spatial dependence

Spatial-depth functional covariates

Spatial functional data

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Stochastic Environmental Research and Risk Assessment

IF:

3.6

论文数:

3.5K

被引数:

6.9K

机构

Universitat Jaume I

学者数:

4.7K

论文数: 4.8K

被引数: 6.1K

引用论文

Effects of an oral elemental nutritional supplement in gastric cancer patients with adjuvant S‐1 chemotherapy after gastrectomy: A multicenter, open‐label, single‐arm, prospective phase II study (OGSG1108)

Annals of Gastroenterological Surgery

IF0

2021-07-16

OAAI

Hiroshi Imamura; Jin Matsuyama; Kazuhiro Nishikawa; Shunji Endo; Tomono Kawase; Yutaka Kimura; Junichi Fukui; Junji Kawada; Yukinori Kurokawa; Kazumasa Fujitani; Daisuke Sakai; Hisato Kawakami; Toshimasa Tsujinaka; Toshio Shimokawa; Yoshihiro Matsubara; Taroh Satoh; Hiroshi Furukawa

Spatial-depth functional estimation of ocean temperature from non-separable covariance models

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

IF3.6

2016-05-11

PREAI

Espejo, R. M.; Fernandez-Pascual, R.; Ruiz-Medina, M. D.

Bagging Voronoi classifiers for clustering spatial functional data

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

IF8.6

2013-06-01

PREAI

Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria