Blar i Brage NMBU på tidsskrift "Chemometrics and Intelligent Laboratory Systems"
Viser treff 1-5 av 5
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A tool for simulating multi-response linear model data
(Journal article; Peer reviewed, 2018)Data science is generating enormous amounts of data, and new and advanced analytical methods are constantly being developed to cope with the challenge of extracting information from such “big-data”. Researchers often use ... -
Comparison of multi-response estimation methods
(Peer reviewed; Journal article, 2020)Prediction performance does not always reflect the estimation behaviour of a method. High error in estimation may necessarily not result in high prediction error, but can lead to an unreliable prediction if test data lie ... -
Comparison of multi-response prediction methods
(Journal article; Peer reviewed, 2019)While data science is battling to extract information from the enormous explosion of data, many estimators and algorithms are being developed for better prediction. Researchers and data scientists often introduce new methods ... -
Distribution based truncation for variable selection in subspace methods for multivariate regression
(Journal article; Peer reviewed, 2013)Analysis of data containing a vast number of features, but only a limited number of informative ones, requires methods that can separate true signal from noise variables. One class of methods attempting this is the sparse ... -
Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models
(Journal article; Peer reviewed, 2013)