Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
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Wearable devices enable the continuous monitoring of physical activity (PA) but generate complex functional data with poorly characterized errors. Most work on functional data views the data as smooth, latent curves obtained at discrete time intervals with som... ...
