We propose a new approach to estimate selection-corrected quantiles of the gender wage gap.
We provide novel, high-order accurate methods for non-parametric inference on quantile differences between two populations in both unconditional and conditional settings. These quantile differences ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...
This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms’ DD to their real world PD. Since changes in the DD ...
PARAMUS, N.J. and DURHAM, N.C., Aug. 27, 2025 /PRNewswire/ -- Savvas Learning Company and MetaMetrics ® today announced that they have partnered to integrate the Savvas Momentum Math K-8 assessments ...
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