Search Results for author: Brent A. Coull

Found 6 papers, 4 papers with code

Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees

no code implementations15 Apr 2022 Wenying Deng, Beau Coker, Rajarshi Mukherjee, Jeremiah Zhe Liu, Brent A. Coull

We develop a simple and unified framework for nonlinear variable selection that incorporates uncertainty in the prediction function and is compatible with a wide range of machine learning models (e. g., tree ensembles, kernel methods, neural networks, etc).

Variable Selection

Function-on-Function Regression for the Identification of Epigenetic Regions Exhibiting Windows of Susceptibility to Environmental Exposures

2 code implementations13 Dec 2019 Michele Zemplenyi, Mark J. Meyer, Andres Cardenas, Marie-France Hivert, Sheryl L. Rifas-Shiman, Heike Gibson, Itai Kloog, Joel Schwartz, Emily Oken, Dawn L. DeMeo, Diane R. Gold, Brent A. Coull

The ability to identify time periods when individuals are most susceptible to exposures, as well as the biological mechanisms through which these exposures act, is of great public health interest.

Applications Methodology

Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors

1 code implementation30 Nov 2017 Joseph Antonelli, Maitreyi Mazumdar, David Bellinger, David C. Christiani, Robert Wright, Brent A. Coull

To estimate the health effects of complex mixtures we propose a flexible Bayesian approach that allows exposures to interact with each other and have nonlinear relationships with the outcome.

Methodology

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