Daniel Wilhelm derives a novel non-asymptotic error bound for the constrained estimator that imposes monotonicity of the regression function, which he illustrates using the problem of estimating gasoline demand functions from U.S. data.
If you experience technical difficulties with this video or would like to make an accessibility-related request, please send a message to bfi@uchicago.edu.