Comments on: Exploratory functional data analysis

Publication type: Journal Article
Publication date: 2025-02-05
Springer Nature
scimago Q2
wos Q2
SJR: 0.505
CiteScore: 2.0
Impact factor: 1.3
ISSN: 11330686, 18638260
Abstract
Exploratory FDA is a critical step in understanding functional data. In this article, the authors present a range of compelling real-data examples to illustrate best practices in visualization and initial analyses. My comments include suggestions to incorporate covariates in exploratory approaches and note a new software package to facilitate these techniques.

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Goldsmith J. Comments on: Exploratory functional data analysis // Test. 2025.
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Goldsmith J. Comments on: Exploratory functional data analysis // Test. 2025.
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TY - JOUR
DO - 10.1007/s11749-025-00964-y
UR - https://link.springer.com/10.1007/s11749-025-00964-y
TI - Comments on: Exploratory functional data analysis
T2 - Test
AU - Goldsmith, Jeff
PY - 2025
DA - 2025/02/05
PB - Springer Nature
SN - 1133-0686
SN - 1863-8260
ER -
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@article{2025_Goldsmith,
author = {Jeff Goldsmith},
title = {Comments on: Exploratory functional data analysis},
journal = {Test},
year = {2025},
publisher = {Springer Nature},
month = {feb},
url = {https://link.springer.com/10.1007/s11749-025-00964-y},
doi = {10.1007/s11749-025-00964-y}
}