Sparse Bayesian Additive Nonparametric Regression with Application to Health Effects of Pesticides Mixtures

DOI10.5705/ss.202017.0315zbMath1444.62055OpenAlexW2811393529WikidataQ130159031 ScholiaQ130159031MaRDI QIDQ5220359

Subhashis Ghosal, Jane A. Hoppin, Brian J. Reich, Ran Wei

Publication date: 16 March 2020

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202017.0315

zbMATH Keywords

posterior consistencyBayesian variable selectionadditive nonparametric regressionenvironmental epidemiologycontinuous shrinkage prior

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Medical epidemiology (92C60)

Related Items (5)

Nearly optimal Bayesian shrinkage for high-dimensional regression ⋮ A Bayesian approach for partial Gaussian graphical models with sparsity ⋮ A latent functional approach for modeling the effects of multidimensional exposures on disease risk ⋮ Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models ⋮ Integrative statistical methods for exposure mixtures and health

This page was built for publication: Sparse Bayesian Additive Nonparametric Regression with Application to Health Effects of Pesticides Mixtures