1. A method for predictive modeling, the method comprising: generating, via a computer processing device, a factor matrix for each univariate time series data in a set of sparse time series data collected from data sources; identifying a subset of the time series data as a feature selection based on application of a loss function; and generating a predictive model from the subset of the time series data.