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

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Published in:Journal of Machine Learning Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Machine Learning Research
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Journal of Machine Learning Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
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 Science & Information Science
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v27/22-1436.html