Liu regression after random forest for prediction and modeling in high dimension

Performance of smoothly clipped absolute deviation as a variable selection method in the artificial neural network‐based QSAR studies

(2021) Zeinab Mozafari et al.   JOURNAL OF CHEMOMETRICS

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High‐Dimension Regime

(2020) Bahadır Yüzbaşı et al.   INTERNATIONAL STATISTICAL REVIEW

Different strategies for the use of random forest in NMR spectra

(2020) Betina P.O. Lovatti et al.   JOURNAL OF CHEMOMETRICS

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

(2020) Wengang Zhang et al.   Geoscience Frontiers

Random forests for global sensitivity analysis: A selective review

(2020) Anestis Antoniadis et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Comparison of Random Forest Variable Selection Methods for Classification Prediction Modeling

(2019) Jaime Lynn Speiser et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modified ridge‐type estimator to combat multicollinearity: Application to chemical data

(2019) Adewale F. Lukman et al.   JOURNAL OF CHEMOMETRICS

Least absolute deviation estimator‐bridge variable selection and estimation for quantitative structure–activity relationship model

(2019) Zainab Tawfeeq Al‐Dabbagh et al.   JOURNAL OF CHEMOMETRICS

Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion

(2018) Mahdi Roozbeh   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Using elastic net regression to perform spectrally relevant variable selection

(2018) Cannon Giglio et al.   JOURNAL OF CHEMOMETRICS

Correlation and redundancy on machine learning performance for chemical databases

(2018) Hongzhi Li et al.   JOURNAL OF CHEMOMETRICS

A penalized quantitative structure–property relationship study on melting point of energetic carbocyclic nitroaromatic compounds using adaptive bridge penalty

(2018) A. M. Al-Fakih et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Class-specific variable selection in high-dimensional discriminant analysis through Bayesian Sparsity

(2018) Fanny Orlhac et al.   JOURNAL OF CHEMOMETRICS

A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values

(2017) Amir Behnamian et al.   IEEE Geoscience and Remote Sensing Letters

Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest

(2017) S.S. Matin et al.   APPLIED SOFT COMPUTING

The distribution of the Liu-type estimator of the biasing parameter in elliptically contoured models

(2016) M. Arashi et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Unsupervised random forest: a tutorial with case studies

(2016) Nelson Lee Afanador et al.   JOURNAL OF CHEMOMETRICS

Robust ridge estimator in restricted semiparametric regression models

(2016) Mahdi Roozbeh   JOURNAL OF MULTIVARIATE ANALYSIS

Shrinkage ridge estimators in semiparametric regression models

(2015) Mahdi Roozbeh   JOURNAL OF MULTIVARIATE ANALYSIS

Overview of two-norm (L2) and one-norm (L1) Tikhonov regularization variants for full wavelength or sparse spectral multivariate calibration models or maintenance

(2012) John H. Kalivas   JOURNAL OF CHEMOMETRICS

A New Two-Parameter Estimator in Linear Regression

(2010) Hu Yang et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS