Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Aurélien Bibaut"'
Publikováno v:
Adv Neural Inf Process Syst
Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study participants and increase the chance of identifying good or even best policies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::582228e3461fabbe7dd447ec2acb5d2c
https://pubmed.ncbi.nlm.nih.gov/35785105
https://pubmed.ncbi.nlm.nih.gov/35785105
Publikováno v:
The Annals of Statistics. 49
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3e82ea62f327e01b5ec179615da7801
https://doi.org/10.1214/20-aos2031
https://doi.org/10.1214/20-aos2031
Autor:
Mark J. van der Laan, Aboulaye Meite, Benjamin F. Arnold, Aurélien Bibaut, Hugh J. W. Sturrock, Lazarus Juziwelo, Francois Rerolle, Ricardo Andrade-Pacheco, Leda Hernandez, Jean Frantz Lemoine
Publikováno v:
Scientific reports, vol 10, iss 1
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
The identification of disease hotspots is an increasingly important public health problem. While geospatial modeling offers an opportunity to predict the locations of hotspots using suitable environmental and climatological data, little attention has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b45c2e374a1f2fe990f8e6cebb25acd2
Publikováno v:
Journal of Applied Statistics. 45:2800-2818
Artificial neural networks have been successfully applied to a variety of machine learning tasks, including image recognition, semantic segmentation, and machine translation. However, few studies fully investigated ensembles of artificial neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e26c566654bda2480e148dcd7da89e5c
https://doi.org/10.1080/02664763.2018.1441383
https://doi.org/10.1080/02664763.2018.1441383
Publikováno v:
Springer Series in Statistics ISBN: 9783319653037
TMLE has been developed for the construction of efficient substitution estimators of pathwise differentiable target parameters. Many parameters are nonpathwise differentiable such as a density or regression curves at a single point in a nonparametric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09e7495f7c03964b810a8106eb9c624f
https://doi.org/10.1007/978-3-319-65304-4_25
https://doi.org/10.1007/978-3-319-65304-4_25