利用 B 样条对不规则域上的空间函数数据进行高斯建模

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-09-13 DOI:10.1080/02331888.2024.2402069

Alvaro Alexander Burbano-Moreno, Vinícius Diniz Mayrink

引用次数: 0

摘要

函数数据分析（FDA）已成为一种强大的框架，适用于在指定区间内呈现连续变化的数据集。与传统方法不同，FDA 将数据视为函数，...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Gaussian modeling with B-splines for spatial functional data on irregular domains

Functional Data Analysis (FDA) has emerged as a powerful framework for datasets that exhibit continuous variation over specified intervals. Unlike traditional methods, FDA treats data as functions,...

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来源期刊

Statistics 数学-统计学与概率论

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.