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Variable selection in mixture cure models using elastic net penalty: application to COVID-19 data. [PDF]
PLoS OneRamalata A, Adekpedjou A, Lesaoana M.
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The Improved EMS Algorithm for Latent Variable Selection in M3PL Model. [PDF]
Appl Psychol MeasShang L +4 more
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Inference of Correlations Among Testlet Effects: A Latent Variable Selection Method. [PDF]
Appl Psychol MeasXu X, Guo J, Xin T.
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Simultaneous Variable Selection
Technometrics, 2005We propose a new method for selecting a common subset of explanatory variables where the aim is to model several response variables. The idea is a natural extension of the LASSO technique proposed by Tibshirani (1996) and is based on the (joint) residual sum of squares while constraining the parameter estimates to lie within a suitable polyhedral ...
Berwin A. Turlach +2 more
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22nd Mediterranean Conference on Control and Automation, 2014
Abstract— The paper considers variable selection problem and proposes an algorithm called the RIVAL (Removing Irrelevant Variables Amidst Lasso Iterations). For a given and fixed length of data points, the algorithm recursively updates the weights so that the ability of the algorithm in detecting zero coefficients is substantially improved. Theoretical
Er-Wei Bai, Kang Li 0002, Paul Kump
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Abstract— The paper considers variable selection problem and proposes an algorithm called the RIVAL (Removing Irrelevant Variables Amidst Lasso Iterations). For a given and fixed length of data points, the algorithm recursively updates the weights so that the ability of the algorithm in detecting zero coefficients is substantially improved. Theoretical
Er-Wei Bai, Kang Li 0002, Paul Kump
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2020
In this chapter we survey Bayesian approaches for variable selection and model choice in regression models. We explore the methodological developments and computational approaches for these methods. In conclusion we note the available software for their implementation.
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In this chapter we survey Bayesian approaches for variable selection and model choice in regression models. We explore the methodological developments and computational approaches for these methods. In conclusion we note the available software for their implementation.
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A variable frequency, variable selectivity filter for electroencephalography
Electroencephalography and Clinical Neurophysiology, 1958Abstract An instrument is described which consists of simple revision of an inexpensive commercially available oscillator kit to allow its use both as an oscillator and a tunable frequency analyzer. These minor revisions, indicated in the electrical diagram, allow it to be coupled in the circuit of the EEG machine to accept single ended inputs of 1.5
H C, BECKER, W A, MICKLE, R G, HEATH
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