Blar i Norges miljø- og biovitenskapelige universitet på emneord "Regression"
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Efficient model selection in the Tikhonov Regularization framework and pre-processing of spectroscopic data
(PhD Thesis;2019:99, Doctoral thesis, 2019)Machine learning is a hot topic in today's society. Data sets of varying sizes show up in a number of contexts, and learning from data sets is important for answering many questions. There is a plethora of methods that can ... -
Estimation of noise variance with dimension-reducing regression methods
(Master thesis, 2018)The focus of this thesis has been on investigating the performance of some estimators of the noise variance using the dimension-reducing methods PCR, PLSR and a recently developed Bayesian method, Bayes PLS, through a ... -
Exploration of multi-response multivariate methods
(PhD Thesis;2019:76, Doctoral thesis, 2019)A linear regression model defines a linear relationship between two or more random variables. The random variables that depend on other random variables are often called response variables and the independent random variables ... -
Hyperspectral imaging : algorithmic advances in variable selection and applications to wood science
(PhD Thesis;2019:77, Doctoral thesis, 2019)According to Beer’s Law there is a linear dependence between the absorbance of a material and the concentration of an absorbing species in the material. Thus, if one is interested in modeling the concentration of an absorbing ...