Introduction to Multilevel Functional Principal

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Multilevel Functional Principal sentence examples

10.1016/J.BPSGOS.2021.07.003

A functional data analytic approach (multilevel functional principal components analysis (MFPCA)) was used to preserve the oscillatory nature of the data; MFPCA principal component (PC) scores were then associated with NDSI.

The Dynamic Relationship Between Alpha and Beta Power and Next-Day Suicidal Ideation in Individuals With Treatment-Resistant Depression

10.1007/S12561-019-09237-3

Our findings suggest that employing a multilevel functional principal component analysis approach can elicit important temporal patterns in physical activity.

Modeling Temporal Variation in Physical Activity Using Functional Principal Components Analysis

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An Overview of Multilevel Functional Principal

Multilevel Functional Principal
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What is/are Multilevel Functional?

Multilevel Functional - This paper presents static and dynamic versions of univariate, multivariate, and multilevel functional time-series methods to forecast implied volatility surfaces in foreign exchange markets. [1] Aging determines a multilevel functional decline and increases the risk for cardiovascular pathologies. [2] A functional data analytic approach (multilevel functional principal components analysis (MFPCA)) was used to preserve the oscillatory nature of the data; MFPCA principal component (PC) scores were then associated with NDSI. [3] The device not only exhibits stable electrical performance after 1000 bending cycles but also manifests a multilevel functional behavior, demonstrating a promising potential for the future development of photoactive electronic devices. [4] All patients were examined according to the diagnostic, rehabilitation and diagnostic algorithm developed by the authors with multilevel functional muscle testing. [5] An important goal of this review is highlighting research in neuroscience as examples of multilevel functional and anatomical analyses addressing basic science issues and applying results to the understanding of diverse disorders. [6] Our findings suggest that employing a multilevel functional principal component analysis approach can elicit important temporal patterns in physical activity. [7] The PAMs can be programmed for a vast array of multilevel functionalities, including anchoring nanoparticles, enabling diverse fluorescent protein arrays, and serving as self-supporting porous sheets for cellular growth. [8] The mortality rates of subpopulations are treated as multilevel functional data and a weighted multilevel functional principal component (wMFPCA) approach is proposed to model and forecast them. [9] The patterns of neural activity that correspond to the final maps, however, emerge from the holistic assembly of a multilevel functional organization. [10] Here we review the evidence that through reciprocal and multilevel functional interactions, mitochondria are implicated in the lifespan modulation function of these pathways, which altogether constitute a highly dynamic and complex system that controls the aging process. [11]

multilevel functional principal

A functional data analytic approach (multilevel functional principal components analysis (MFPCA)) was used to preserve the oscillatory nature of the data; MFPCA principal component (PC) scores were then associated with NDSI. [1] Our findings suggest that employing a multilevel functional principal component analysis approach can elicit important temporal patterns in physical activity. [2]