Convolution-Type Smoothed Quantile Regression. Estimation and inference for conditional linear quantile regression models using a convolution smoothed approach. In the low-dimensional setting, efficient gradient-based methods are employed for fitting both a single model and a regression process over a quantile range. Normal-based and (multiplier
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curl https://depscope.dev/api/check/cran/conquerFirst published · 2023-03-06 10:21:24
Last updated · 2023-03-06T07:40:02+00:00