COVID-19 Data Imputation by Multiple Function-on-Function Principal Component Regression

COVID-19 Data Imputation by Multiple Function-on-Function Principal Component Regression

The aim of this paper is the imputation of missing data of COVID-19 hospitalized and intensive care curves in several Spanish regions. Taking into account that the curves of cases, deceases and recovered people are completely observed, a function-on-function regression model is proposed to estimate...

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Bibliographic Details
Main Authors: Christian Acal, Manuel Escabias, Ana M. Aguilera, Mariano J. Valderrama
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Mathematics
Subjects:
functional data analysis
function-on-function regression
functional principal components
B-splines
COVID-19
Online Access:https://www.mdpi.com/2227-7390/9/11/1237

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