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Articles by
Aurelien Bibaut
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
21 January 2025 by
Lars Van Der Laan
and
others
Methodology
,
Statistics Theory
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
21 January 2025 by
Lars Van Der Laan
and
others
Methodology
,
Statistics Theory
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
21 January 2025 by
Lars Van Der Laan
and
others
Methodology
,
Statistics Theory
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
11 March 2024 by
Aurélien Bibaut
and
others
Methodology
,
Econometrics
Adaptive Sequential Design for a Single Time-Series
1 July 2021 by
Ivana Malenica
and
others
Statistics Theory
,
Machine Learning
Sequential causal inference in a single world of connected units
18 January 2021 by
Aurélien Bibaut
and
others
Statistics Theory
Finding hotspots: development of an adaptive spatial sampling approach
2 July 2020 by
R. Andrade Pacheco
and
others
at
UC San Francisco
Epidemiology