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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.
openaire +2 more sources
2018
As we mentioned in Chap. 16, variable selection is very important when dealing with bioinformatics, healthcare, and biomedical data, where we may have more features than observations. Variable selection, or feature selection, can help us focus only on the core important information contained in the observations, instead of every piece of information ...
openaire +1 more source
As we mentioned in Chap. 16, variable selection is very important when dealing with bioinformatics, healthcare, and biomedical data, where we may have more features than observations. Variable selection, or feature selection, can help us focus only on the core important information contained in the observations, instead of every piece of information ...
openaire +1 more source