Bayesian nonparametric monotone regression

@article{Wilson2020BayesianNM,
  title={Bayesian nonparametric monotone regression},
  author={Ander Wilson and Jessica Tryner and Christian L'Orange and John Volckens},
  journal={arXiv: Methodology},
  year={2020}
}
In many applications there is interest in estimating the relation between a predictor and an outcome when the relation is known to be monotone or otherwise constrained due to the physical processes involved. We consider one such application--inferring time-resolved aerosol concentration from a low-cost differential pressure sensor. The objective is to estimate a monotone function and make inference on the scaled first derivative of the function. We proposed Bayesian nonparametric monotone… Expand

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