Demonstrating How FPCA Can Leverage SAR Time-Series Information to Distinguish Wetlands and Uplands Based on Seasonal Backscatter Trends by Sarah N. Banks, Amir Behnamian, Kenneth C. K. Chu, Ryan Hamilton, Jason Duffe, Jon Pasher

Subjects: “…Functional principal component analysis (FPCA)…”
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A bi-variate framework to model microbiome resilience in healthy dogs by Fabio Mainardi, Marc Garcia-Garcera, Andrea K. Nash

Subjects: “…functional principal component analysis…”
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The relationship between the coarticulatory source and effect in sound change: evidence from Italo-Romance metaphony in the Lausberg area by Jonathan Harrington, Michele Gubian, Pia Greca

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A Study of the Colombian Stock Market with Multivariate Functional Data Analysis (FDA) by Deivis Rodríguez Cuadro, Sonia Pérez-Plaza, Antonia Castaño-Martínez, Fernando Fernández-Palacín

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Predicting electricity supply and demand curves with functional data techniques by Zehang Li, Andrés M. Alonso, Lorenzo Pascual

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The Second Wave of the COVID-19 Pandemic in Poland - Characterised Using FDA Methods by Patrycja Hęćka

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Spatiotemporal patterns and prediction of multi-region house prices via functional mixed effects model by Yilin Chen, Haitao Zheng

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Covariate-adjusted functional data analysis for structural health monitoring by Philipp Wittenberg, Lizzie Neumann, Alexander Mendler, Jan Gertheiss

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Condition monitoring and multi-fault classification of hydraulic systems using multivariate functional data analysis by Cevahir Yildirim, Alba M. Franco-Pereira, Rosa E. Lillo

Subjects: “…Multivariate functional principal component analysis (MFPCA)…”
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Bayesian Quantile Regression for Partial Functional Linear Spatial Autoregressive Model by Dengke Xu, Shiqi Ke, Jun Dong, Ruiqin Tian

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