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Students will be able to explain the utility of multivariate methods for MANOVA, PCA, factor analysis, discriminant analysis and clustering.
She obtained her PhD in Statistics at Stanford University, where she developed a set of multivariate methods for integrative analysis of abundance and phylogenetic data for the microbiome.
The FeatureDeveloper offers a user-friendly visualization of the raw-spectra, uni- or multivariate methods for wavelength selection and compression, as well as standard tools for spectra preprocessing.
Robust multivariate methods for dealing with outliers are essential especially when process data are used in applications such as parameter estimation, controller design and process monitoring.
However, robust estimation of temporal dynamics from functional magnetic resonance imaging (fMRI) data remains challenging due to limitations in extant multivariate methods for modeling time-varying functional interactions between multiple brain areas.
Robust multivariate methods for dealing with problems caused by outliers in the data are essential especially when process data are used to validate mechanistic models, develop regression models, and in applications such as controller design and process monitoring.
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KL-Evidence: A Novel Multivariate Method for Differentiating Representations.
poster: KL-Evidence: A Novel Multivariate Method for Differentiating Representations.
This paper proposes a novel multivariate method for the measurement based modal analysis.
In this paper, we introduce an alternative multivariate method for assessing extreme storm conditions.
Principal component regression (PCR) has been widely used as a multivariate method for data-based soft sensor design.
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