Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Lucas, Janson"'
Autor:
Siyuan Ma, Boyu Ren, Himel Mallick, Yo Sup Moon, Emma Schwager, Sagun Maharjan, Timothy L Tickle, Yiren Lu, Rachel N Carmody, Eric A Franzosa, Lucas Janson, Curtis Huttenhower
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1008913 (2021)
Many methods have been developed for statistical analysis of microbial community profiles, but due to the complex nature of typical microbiome measurements (e.g. sparsity, zero-inflation, non-independence, and compositionality) and of the associated
Externí odkaz:
https://doaj.org/article/b5a61e321c084730884928cb547eac54
Autor:
Wenshuo Wang, Lucas Janson
Publikováno v:
Biometrika. 109:631-645
Summary In many scientific applications, researchers aim to relate a response variable $Y$ to a set of potential explanatory variables $X = (X_1,\dots,X_p)$, and start by trying to identify variables that contribute to this relationship. In statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1edaf5df29c04466074a72adc015195
https://doi.org/10.1093/biomet/asab052
https://doi.org/10.1093/biomet/asab052
Publikováno v:
Adv Neural Inf Process Syst
As bandit algorithms are increasingly utilized in scientific studies and industrial applications, there is an associated increasing need for reliable inference methods based on the resulting adaptively-collected data. In this work, we develop methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::90f9a4e5da9fd5dd599d477e39fa9433
https://pubmed.ncbi.nlm.nih.gov/35002190
https://pubmed.ncbi.nlm.nih.gov/35002190
Publikováno v:
Biometrika
We consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y is independent of X given Z. The conditional randomization test (CRT) was recently proposed as a way to use distr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5371aefd4419f93ecbb7c7d4bb660e35
https://europepmc.org/articles/PMC10323874/
https://europepmc.org/articles/PMC10323874/
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 80:551-577
Summary Many contemporary large-scale applications involve building interpretable models linking a large set of potential covariates to a response in a non-linear fashion, such as when the response is binary. Although this modelling problem has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ab99c207e0b9ea4ac404c9ad86dce1
https://doi.org/10.1111/rssb.12265
https://doi.org/10.1111/rssb.12265
Publikováno v:
ICRA
Algorithms for motion planning in unknown environments are generally limited in their ability to reason about the structure of the unobserved environment. As such, current methods generally navigate unknown environments by relying on heuristic method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebf82bf673a5e01cf50c547415998725
http://arxiv.org/abs/1910.08184
http://arxiv.org/abs/1910.08184
Autor:
Dongming Huang, Lucas Janson
Publikováno v:
Ann. Statist. 48, no. 5 (2020), 3021-3042
The recent paper Candès et al. (J. R. Stat. Soc. Ser. B. Stat. Methodol. 80 (2018) 551–577) introduced model-X knockoffs, a method for variable selection that provably and nonasymptotically controls the false discovery rate with no restrictions or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f884af8f03bbd4302269ac79039a0b7c
http://arxiv.org/abs/1903.02806
http://arxiv.org/abs/1903.02806
Publikováno v:
ICRA
RRT* is one of the most widely used sampling-based algorithms for asymptotically-optimal motion planning. This algorithm laid the foundations for optimality in motion planning as a whole, and inspired the development of numerous new algorithms in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1daebed935cfe983ddf25129e4f27d20
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 79:1037-1065
Summary Consider the following three important problems in statistical inference: constructing confidence intervals for the error of a high dimensional (p > n) regression estimator, the linear regression noise level and the genetic signal-to-noise ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fb8cd226eaf3df617764fb53ee183c6
https://doi.org/10.1111/rssb.12203
https://doi.org/10.1111/rssb.12203
Autor:
Thuy B. Tran, Jason T. Lee, Raffi S. Avedian, Eduardo Zambrano, Kristen N. Ganjoo, George A. Poultsides, E. John Harris, David G. Mohler, Brendan C. Visser, Lucas Janson, Matthew W. Mell, Jeffrey A. Norton
Publikováno v:
Annals of Surgery. 262:632-640
To examine the impact of major vascular resection on sarcoma resection outcomes.En bloc resection and reconstruction of involved vessels is being increasingly performed during sarcoma surgery; however, the perioperative and oncologic outcomes of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78189ff9a51ffd05eac3ba4f2bb1347d
https://doi.org/10.1097/sla.0000000000001455
https://doi.org/10.1097/sla.0000000000001455