Bayesian regularized quantile regression: A robust alternative for genome-based prediction of skewed data
Sign Up to like & getrecommendations! Published in 2020 at "Crop Journal"
DOI: 10.1016/j.cj.2020.04.009
Abstract: Abstract Genomic prediction (GP) has become a valuable tool for predicting the performance of selection candidates for the next breeding cycle. A vast majority of statistical linear models on which GP is based rely on… read more here.
Keywords: regularized quantile; quantile regression; regression; bayesian regularized ... See more keywords
XGBoost regression for robust acoustic impedance prediction in the absence of density and sonic logs
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DOI: 10.1038/s41598-025-24727-9
Abstract: Acoustic impedance (Z) is a fundamental parameter in geophysical subsurface characterization, governing seismic reflection coefficients and enabling reservoir property quantification through seismic inversion. Conventional derivation of Z relies on density (ρ) and P-wave velocity (Vp)… read more here.
Keywords: acoustic impedance; impedance; regression robust; porosity ... See more keywords