Gaussian processes for the estimation of causal exposure-response curves (GP-CERF)
Summary
Gaussian Process (GP) approach for nonparametric modeling.
Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data.
References
Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint doi:10.48550/arXiv.2105.03454.