Brent A. Coull

13 papers A* 2B 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Group-wise normalization in differential abundance analysis of microbiome samples.
BMC Bioinform.
Dylan Clark-Boucher, Brent A. Coull, Harrison T. Reeder, Fenglei Wang, Qi Sun, Jacqueline R. Starr, Kyu Ha Lee
2024 J jnl
skipTrack: An R package for Identifying Skips in Self-Tracked Mobile Menstrual Cycle Data.
J. Open Source Softw.
Luke Duttweiler, Shruthi Mahalingaiah, Brent A. Coull
2023 J jnl
Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study.
npj Digit. Medicine
Huichu Li, Elizabeth A. Gibson, Anne Marie Z. Jukic, Donna D. Baird, Allen J. Wilcox, Christine L. Curry, Tyler Fischer-Colbrie, Jukka-Pekka Onnela, Michelle A. Williams, Russ Hauser, Brent A. Coull, Shruthi Mahalingaiah
2022 B conf
Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations.
IEEE Big Data
John W. Paisley, Sebastian Rowland, Jeremiah Zhe Liu, Brent A. Coull, Marianthi-Anna Kioumourtzoglou
2022 J jnl
Covid-19 vaccination and menstrual cycle length in the Apple Women's Health Study.
npj Digit. Medicine
Elizabeth A. Gibson, Huichu Li, Victoria Fruh, Malaika Gabra, Gowtham Asokan, Anne Marie Z. Jukic, Donna D. Baird, Christine L. Curry, Tyler Fischer-Colbrie, Jukka-Pekka Onnela, Michelle A. Williams, Russ Hauser, Brent A. Coull, Shruthi Mahalingaiah
2022 A* conf
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees.
NeurIPS
Wenying Deng, Beau Coker, Rajarshi Mukherjee, Jeremiah Z. Liu, Brent A. Coull
2022 J jnl
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees.
CoRR
Wenying Deng, Beau Coker, Jeremiah Zhe Liu, Brent A. Coull
2021 J jnl
Bayesian wavelet-packet historical functional linear models.
Stat. Comput.
Mark J. Meyer, Elizabeth J. Malloy, Brent A. Coull
2019 A* conf
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning.
NeurIPS
Jeremiah Z. Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull
2019 J jnl
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning.
CoRR
Jeremiah Zhe Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull
2018 J jnl
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process.
CoRR
Jeremiah Zhe Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull
2017 — conf
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes.
NIPS
Jeremiah Z. Liu, Brent A. Coull
2007 J jnl
Penalized solutions to functional regression problems.
Comput. Stat. Data Anal.
Jaroslaw Harezlak, Brent A. Coull, Nan M. Laird, Shannon R. Magari, David Christiani