2012
DOI: 10.1080/1062936x.2012.665083
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The use of Bayesian nonlinear regression techniques for the modelling of the retention behaviour of volatile components ofArtemisiaspecies

Abstract: The main aim of this work was to assess the ability of Bayesian multivariate adaptive regression splines (BMARS) and Bayesian radial basis function (BRBF) techniques for modelling the gas chromatographic retention indices of volatile components of Artemisia species. A diverse set of molecular descriptors was calculated and used as descriptor pool for modelling the retention indices. The ability of BMARS and BRBF techniques was explored for the selection of the most relevant descriptors and proper basis functio… Show more

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