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Published in 2018 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2018.01.001
Abstract: We study the suitability of lasso-type penalized regression techniques when applied to macroeconomic forecasting with high-dimensional datasets. We consider performance of the lasso-type methods when the true DGP is a factor model, contradicting the sparsity…
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Keywords:
penalized regression;
forecasting using;
regression;
macroeconomic forecasting ... See more keywords
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Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0242730
Abstract: Background Penalised regression methods are a useful atheoretical approach for both developing predictive models and selecting key indicators within an often substantially larger pool of available indicators. In comparison to traditional methods, penalised regression models…
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Keywords:
logistic regression;
penalised logistic;
regression;
selection ... See more keywords
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Published in 2018 at "Journal of forest science"
DOI: 10.17221/56/2014-jfs
Abstract: A local mean stem curve of spruce was represented using regression splines. Abilities of smoothing spline and P-spline to model the mean stem curve were evaluated using data of 85 carefully measured stems of Norway…
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Keywords:
use nonparametric;
regression;
nonparametric regression;
model ... See more keywords
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Published in 2018 at "Czech Journal of Animal Science"
DOI: 10.17221/7340-cjas
Abstract: AbStr Act : This study was conducted to determine apparent ileal amino acids digestibility (AIAAD) of diets with different levels of corn distiller’s dried grains with solubles (DDGS) and to determine AIAAD of corn DDGS…
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Keywords:
acids digestibility;
amino acids;
ddgs;
regression methods ... See more keywords