Probabilistic partial least squares model: Identifiability, estimation and application

With a rapid increase in volume and complexity of data sets, there is a need for methods that can extract useful information, for example the relationship between two data sets measured for the same persons. The Partial Least Squares (PLS) method can be used for this dimension reduction task. Within...

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Veröffentlicht in:	arXiv.org 2018-06
Hauptverfasser:	Said el Bouhaddani, Hae-Won Uh, Hayward, Caroline, Jongbloed, Geurt, Houwing-Duistermaat, Jeanine
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer simulation Datasets Epidemiology Estimating techniques Glycan Least squares Maximum likelihood estimators Normality Optimization Parameter identification Probabilistic inference Probabilistic models Probability theory Regression analysis Statistical analysis Statistical inference Statistics - Methodology
Online-Zugang:	Volltext
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