Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric

Saved in:
Bibliographic Details
Published in:Journal of Machine Learning Research
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030193088200706
collection WordPress RSS
FRELIP Feed Integration
container_title Journal of Machine Learning Research
description
discipline_display Education
discipline_facet Education
format Online Article
RSS Article
genre Journal Article
id rss_article:39586
institution FRELIP
journal_source_facet Journal of Machine Learning Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
— — — — — — e-Learning
Educational Technology
Education
sub_discipline_display Educational Technology
sub_discipline_facet Educational Technology
subject_display — — — — — — e-Learning
Educational Technology
Education
— — — — — — e-Learning
Educational Technology
Education
subject_facet — — — — — — e-Learning
Educational Technology
Education
title Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
title_auth Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
title_full Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
title_fullStr Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
title_full_unstemmed Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
title_short Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
title_sort projected statistical methods for distributional data on the real line with the wasserstein metric
topic — — — — — — e-Learning
Educational Technology
Education
url http://jmlr.org/papers/v23/21-0059.html