JASA
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence
Authors
Yan Chen
Hongmei Lin
Xueqin Wang
Canhong Wen
Paper Information
-
Journal:
Journal of the American Statistical Association -
DOI:
10.1080/01621459.2025.2537455
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Added to Tracker:
Sep 03, 2025
Author Details
Yan Chen
AuthorHongmei Lin
AuthorXueqin Wang
AuthorCanhong Wen
AuthorCitation Information
APA Format
Yan Chen
,
Hongmei Lin
,
Xueqin Wang
&
Canhong Wen
.
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence.
Journal of the American Statistical Association
, 10.1080/01621459.2025.2537455.
BibTeX Format
@article{paper452,
title = { A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence },
author = {
Yan Chen
and Hongmei Lin
and Xueqin Wang
and Canhong Wen
},
journal = { Journal of the American Statistical Association },
doi = { 10.1080/01621459.2025.2537455 },
url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2537455 }
}