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 ...
Dependent censoring occurs in many biomedical studies and poses considerable methodological challenges for survival analysis. We develop a new approach for analyzing dependently censored data by ...
The calculation of nonparametric quantile regression curve estimates is often computationally intensive, as typically an expensive nonlinear optimization problem is involved. This article proposes a ...
2021 JUL 21 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on Risk Management is the subject of a report. According to news originating from Riyadh, Saudi ...
Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...
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