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May 1, 2013 · Here, we present a randomized algorithm that runs in nearly linear time in the size of the input and that, with constant probability, computes a ...
Abstract. Quantile regression is a method to estimate the quantiles of the conditional distribution of a response variable, and as such it permits.
Abstract. Quantile regression is a method to estimate the quantiles of the conditional distribu- tion of a response variable, and as such it permits a much ...
Here, we present a randomized algorithm that runs in nearly linear time in the size of the input and that, with constant probability, computes a ( 1 + 𝜖 ) ( 1 ...
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Quantile regression is a method to estimate the quantiles of the conditional distribution of a response variable, and as such it permits a much more accurate ...
Jan 13, 2024 · Quantile regression is a method to estimate the quantiles of the conditional distribution of a response variable, and as such it permits a ...
Quantile regression is a powerful tool for learning the relationship between a response variable and a multivariate predictor while exploring heterogeneous ...
Dec 13, 2022 · We develop transfer learning methods for high-dimensional quantile regression by detecting informative sources whose models are similar to the ...
Feb 5, 2024 · In this paper, we focus on linear quantile regression applied to “ultra-large” datasets, such as U.S. decennial censuses. A fast inference ...
Jun 16, 2013 · Here, we present a randomized algorithm that runs in time that is nearly linear in the size of the input and that, with constant probability, ...