Bayesian linear regression and variable selection for spectroscopic calibration
نویسندگان
چکیده
منابع مشابه
Bayesian linear regression and variable selection for spectroscopic calibration.
This paper presents a Bayesian approach to the development of spectroscopic calibration models. By formulating the linear regression in a probabilistic framework, a Bayesian linear regression model is derived, and a specific optimization method, i.e. Bayesian evidence approximation, is utilized to estimate the model "hyper-parameters". The relation of the proposed approach to the calibration mo...
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ژورنال
عنوان ژورنال: Analytica Chimica Acta
سال: 2009
ISSN: 0003-2670
DOI: 10.1016/j.aca.2008.10.014