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Detalle de: Latent variable multivariate statistical methods

Title Latent variable multivariate statistical methods
Description

Development and application of latent variable-based multivariate statistical methods (PCA, PLS) and machine learning for data analytics in industry, health and biotechnology: missing data imputation, outlier detection, data fusion, image analysis and process monitoring.

Research Groups Multivariate Statistical Engineering Group (GIEM)
Researchers Sonia Tarazona Campos

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