Correction to: ‘Selective machine learning of doubly robust functionals’

We would like to thank Anders Much for pointing out an oversight in the statement of Lemma 1 that we now rectify.In addition to Assumptions 3-5, Lemma 1 also requires Assumptions 6, 7 and 9.The result does not appear to hold without these additional conditions.

Publication Details

Journal
Biometrika
Published
2024-08-21
DOI
https://doi.org/10.1093/biomet/asae032
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correction to: ‘Selective machine learning of doubly robust functionals’

Biometrika
Computational Drug Discovery Methods
article

Correction to: ‘Selective machine learning of doubly robust functionals’

article en

Abstract

We would like to thank Anders Much for pointing out an oversight in the statement of Lemma 1 that we now rectify.In addition to Assumptions 3-5, Lemma 1 also requires Assumptions 6, 7 and 9.The result does not appear to hold without these additional conditions.

BiometrikaVol. 111(3)
Openalex Percentile: Top 82%
Computational Drug Discovery Methods
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Correction to: ‘Selective machine learning of doubly robust functionals’ · Biometrika (2024) | TGRS Research Map | TGRS