Related papers
New GARTFIMA Process Improves Time Series Modeling for Real-World Data
A new process called GARTFIMA was created to better model real-world data. Researchers studied its spectral density and autocovariance function. They estimated parameters using empirical spectral density and found it worked well on simulated data. The GARTFIMA process outperformed other time series models in modeling real-world data.