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Comparison of variable selection algorithms on vis-NIR hyperspectral imaging spectra for quantitative monitoring and visualization of bacterial foodborne pathogens in fresh pork muscles

Infrared physics & technology, 2020-06, Vol.107, p.103327, Article 103327

2020

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Practical variable selection for generalized additive models

Computational statistics & data analysis, 2011-07, Vol.55 (7), p.2372-2387

2011

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Principled sure independence screening for Cox models with ultra-high-dimensional covariates

Journal of multivariate analysis, 2012-02, Vol.105 (1), p.397-411

2012

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DPP-VSE: Constructing a variable selection ensemble by determinantal point processes

Expert systems with applications, 2021-09, Vol.178, p.115025, Article 115025

2021

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Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data

Energy economics, 2023-04, Vol.120, p.106621, Article 106621

2023

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Bayesian group bridge for bi-level variable selection

Computational statistics & data analysis, 2017-06, Vol.110, p.115-133

2017

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Variable selection in infinite-dimensional problems

Statistics & probability letters, 2014-11, Vol.94, p.12-20

2014

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Group variable selection in the Andersen–Gill model for recurrent event data

Journal of statistical planning and inference, 2020-07, Vol.207, p.99-112

2020

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Stochastic model specification search for Gaussian and partial non-Gaussian state space models

Econometrics, 2010-01, Vol.154 (1), p.85-100

2010

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Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models

Knowledge-based systems, 2018-08, Vol.153, p.1-11

2018

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Evaluation of ensemble Monte Carlo variable selection for identification of metabolite markers on NMR data

Analytica chimica acta, 2017-04, Vol.964, p.45-54

2017

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Randomizing outputs to increase variable selection accuracy

Neurocomputing (Amsterdam), 2016-12, Vol.218, p.91-102

2016

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A variable selection method based on Tabu search for logistic regression models

European journal of operational research, 2009-12, Vol.199 (2), p.506-511

2009

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Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models

International journal of forecasting, 2008-10, Vol.24 (4), p.694-709

2008

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Consistent tuning parameter selection in high dimensional sparse linear regression

Journal of multivariate analysis, 2011-08, Vol.102 (7), p.1141-1151

2011

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Variable selection in robust regression models for longitudinal data

Journal of multivariate analysis, 2012-08, Vol.109, p.156-167

2012

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An overview of variable selection methods in multivariate analysis of near-infrared spectra

TrAC, Trends in analytical chemistry (Regular ed.), 2019-04, Vol.113, p.102-115

2019

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Variable selection for semiparametric varying coefficient partially linear errors-in-variables models

Journal of multivariate analysis, 2010-09, Vol.101 (8), p.1872-1883

2010

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Feasibility study on non-destructive detection of microplastic content in flour based on portable Raman spectroscopy system combined with mixed variable selection method

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2025-02, Vol.326, p.125195, Article 125195

2025

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Sparse seemingly unrelated regression modelling: Applications in finance and econometrics

Computational statistics & data analysis, 2010-11, Vol.54 (11), p.2866-2877

Wang, Hao

2010

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Regression density estimation using smooth adaptive Gaussian mixtures

Econometrics, 2009-12, Vol.153 (2), p.155-173

2009

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Variable selection in model-based discriminant analysis

Journal of multivariate analysis, 2011-11, Vol.102 (10), p.1374-1387

2011

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Type (I, II) errors variable selection in quantitative structure activity relationships

Chemometrics and intelligent laboratory systems, 2016-03, Vol.152, p.10-17

2016

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Bias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data

Journal of multivariate analysis, 2012-02, Vol.105 (1), p.422-432

2012

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Factor forecasting using international targeted predictors: The case of German GDP

Economics letters, 2010-05, Vol.107 (2), p.95-98

Schumacher, Christian

2010

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Comparison of variable selection algorithms on vis-NIR hyperspectral imaging spectra for quantitative monitoring and visualization of bacterial foodborne pathogens in fresh pork muscles

Practical variable selection for generalized additive models

Principled sure independence screening for Cox models with ultra-high-dimensional covariates

DPP-VSE: Constructing a variable selection ensemble by determinantal point processes

Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data

Bayesian group bridge for bi-level variable selection

Variable selection in infinite-dimensional problems

Group variable selection in the Andersen–Gill model for recurrent event data

Stochastic model specification search for Gaussian and partial non-Gaussian state space models

Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models

Evaluation of ensemble Monte Carlo variable selection for identification of metabolite markers on NMR data

Randomizing outputs to increase variable selection accuracy

A variable selection method based on Tabu search for logistic regression models

Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models

Consistent tuning parameter selection in high dimensional sparse linear regression

Variable selection in robust regression models for longitudinal data

An overview of variable selection methods in multivariate analysis of near-infrared spectra

Variable selection for semiparametric varying coefficient partially linear errors-in-variables models

Feasibility study on non-destructive detection of microplastic content in flour based on portable Raman spectroscopy system combined with mixed variable selection method

Sparse seemingly unrelated regression modelling: Applications in finance and econometrics

Regression density estimation using smooth adaptive Gaussian mixtures

Variable selection in model-based discriminant analysis

Type (I, II) errors variable selection in quantitative structure activity relationships

Bias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data

Factor forecasting using international targeted predictors: The case of German GDP

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