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Showing 1 to 6 of 6 for “"multivariate functional data"”.
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Penalized discriminant analysis for multivariate functional data
… a penalized discriminant analysis method for multivariate functional data supported on compact 1D domains, motivated by an application that aims to identify subjects with poor cognitive status from diffusion MRI data. By leveraging a connection to the optimal scoring problem, we bypass …
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Statistical Methods for Multivariate Functional Data Clustering, Recurrent Event Prediction, and Accelerated Degradation Data Analysis
… Chapter 1. The first project concentrates on the multivariate sensory data, the second project is related to the bivariate recurrent process, and the third project introduces thermal index (TI) estimation in accelerated destructive degradation test (ADDT) data, in which an R package is developed. …
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Assessing Driver Behavior in the Context of Driving Environment
… the related safety concerns have primarily used data that does not capture the dynamic nature of driving tasks. The widespread use of naturalistic driving data in recent years allows researchers the capability to capture real-time driver behavior and be able to infer an individual’s driving …
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Contributions to Functional Data Analysis
Functional data consist of repeated measurements taken over time for each subject. The data for a subject are assumed to be values of a random function that is observed at a discrete time points rather than a sequence of individual measurements. Functional data are classified dense or sparse based …
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Análisis de la bolsa de valores de Colombia desde la perspectiva del análisis de datos funcionales
… “A study of the Colombian stock market with multivariate functional data analysis”, publicado en la revista “Mathematics”, cuyos autores son el doctorando, las directoras y el tutor de la tesis. Dado que el enfoque metodológico de la tesis lo hereda del citado artículo, hemos decidido incluir …