Learn how to do time series regression using a neural network, with 'rolling window' data, coded from scratch, using Python.

Structural time series models in combination with a parallel run are applied to estimate discontinuities induced by the redesign. A backcasting algorithm designed for the consumer confidence variables ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented ... This paper addresses this gap by ...

Structural time series models in combination with a parallel run are applied to estimate discontinuities induced by the redesign. A backcasting algorithm is developed to construct uninterrupted input ...

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for beginners looking to explore brain signal analysis! #MachineLearning #EEG # ...

James Hamilton provides for the first time a thorough and detailed textbook account of important innovations such as vector autoregressions, estimation by generalized method of moments, the economic ...