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Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models

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Bibliographic Details
Published in:Journal of Machine Learning Research (JMLR)
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Machine Learning Research (JMLR)
description
discipline_display Computer Sciience
discipline_facet Computer Sciience
format Online Article
RSS Article
genre Journal Article
id rss_article:77738
institution FRELIP
journal_source_facet Journal of Machine Learning Research (JMLR)
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Computer Sciience
General
Computer Sciience
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Sciience
General
Computer Sciience
Computer Sciience
General
Computer Sciience
subject_facet Computer Sciience
General
Computer Sciience
title Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
title_auth Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
title_full Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
title_fullStr Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
title_full_unstemmed Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
title_short Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
title_sort decorrelated local linear estimator: inference for non-linear effects in high-dimensional additive models
topic Computer Sciience
General
Computer Sciience
url http://jmlr.org/papers/v27/22-1436.html