finance; for such tasks as pattern reorganization, and time series forecasting, have dramatically increased. Many central … banks use forecasting models based on ANN methodology for predicting various macroeconomic indicators, like inflation, GDP … ANN model with conventional univariate time series forecasting models such as AR(1) and ARIMA based models and observed …

paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed …

paper analyzes how optimal Litterman prior changes when an economy is hit by a recession. For this task, an autoregressive …

paper analyzes how optimal Litterman prior changes when an economy is hit by a recession. For this task, an autoregressive …

(Quarterly Forecasting and Simulation Model) -- for economic and fiscal forecasting and simulation exercises. As with any large macroeconomic …