Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data
We develop a new imputation method for missing data that are both MAR and NMAR. This method enables imputation when all data at a time instance are missing. Incorporates time lagged correlations improves accuracy. Method significantly reduced imputation error on simulated and real biomedical data.
imputation time series missing data biomedical data