Mapping wind erosion hazard with regression-based machine learning algorithms
Land susceptibility to wind erosion hazard in Isfahan province, Iran, was mapped by testing
16 advanced regression-based machine learning methods: Robust linear regression (RLR) …
16 advanced regression-based machine learning methods: Robust linear regression (RLR) …
Global optimization of redescending robust estimators
S Baselga, I Klein, SS Suraci… - Mathematical …, 2021 - Wiley Online Library
Robust estimation has proved to be a valuable alternative to the least squares estimator for
the cases where the dataset is contaminated with outliers. Many robust estimators have …
the cases where the dataset is contaminated with outliers. Many robust estimators have …
Robust Elastic Net Estimators for High Dimensional Generalized Linear Models
M Valdora, C Agostinelli - arXiv preprint arXiv:2312.04661, 2023 - arxiv.org
Robust estimators for Generalized Linear Models (GLMs) are not easy to develop because
of the nature of the distributions involved. Recently, there has been an increasing interest in …
of the nature of the distributions involved. Recently, there has been an increasing interest in …
Estimación robusta en modelos lineales generalizados de alta dimensión
M Valdora - union-matematica.org.ar
Los modelos lineales generalizados (GLM) son una herramienta importante en el análisis
de datos. En problemas de alta dimensión, los métodos tradicionales fallan, porque se …
de datos. En problemas de alta dimensión, los métodos tradicionales fallan, porque se …
Robust estimation for high dimensional generalized linear models
C Agostinelli, M Valdora - Book of Abstracts - library.utia.cas.cz
Robust estimation for high dimensional generalized linear models Page 111 C. Agostinelli
et al. Robust estimation for high dimensional GLM Robust estimation for high dimensional …
et al. Robust estimation for high dimensional GLM Robust estimation for high dimensional …
[PDF][PDF] Research Article Global Optimization of Redescending Robust Estimators
S Baselga, I Klein, SS Suraci, LC de Oliveira… - 2021 - academia.edu
Robust estimation has proved to be a valuable alternative to the least squares estimator for
the cases where the dataset is contaminated with outliers. Many robust estimators have …
the cases where the dataset is contaminated with outliers. Many robust estimators have …