Applying kernel smoothing to large datasets
I frequently work with time series data acquired simultaneously from multiple sensors. For example, 100 sensors may make measurements once per hour for several months. The sensors sometimes report erroneous values and sometimes fail to report. I want to remove the outliers from the dataset and impute the missing values in order to extract values from specific points in time for further post-proces...