We discuss the problem of modeling and analysis of time series data that evolve at different frequencies (e.g., quarterly-monthly). We present univariate and multivariate modeling paradigms, outline and address technical challenges and illustrate their performance in forecasting tasks involving key macroeconomic indicators.

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