ARFIMA(p,d,q) estimator

Maximum likelihood estimators of stationary univariate ARFIMA(p,d,q) processes.
4,2K download
Aggiornato 18 giu 2011

Visualizza la licenza

ARFIMA(p,d,q) maximum likelihood estimators:

- Whittle estimator
- Exact maximum likelihood estimator

-and some other,possibly useful functions,forecasting included.I've yet to implement the prediction error bands calculation (as one can judge from the screenshot).

Requirements:

-Statistics Toolbox
-Optimization Toolbox
-Kevin Sheppard's MFE Toolbox

http://www.kevinsheppard.com/wiki/MFE_Toolbox

Optional requirements:

-Simone Fatichi's ARFIMA(p,d,q) simulator(MATLAB Central FileExchange #25611)

The latter is required for testing the algorithms' performance (implemented in arfima_test).

NOTICE: this time, a C/MEX file is there to speed up the process,without a .m equivalent.It compiled with several compilers (LCC and MS VC++ 2008) and proved to be stable for me.

Further updates are planned:

-other estimation algorithms
-documentation
-etc.

Any comments,suggestions to:

inzeltgy@gmail.com

Cita come

György Inzelt (2024). ARFIMA(p,d,q) estimator (https://www.mathworks.com/matlabcentral/fileexchange/30238-arfima-p-d-q-estimator), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2008a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.1.0.0

Added the exact maximum likelihood estimator, a covariance computing algorithm and a forecasting function.

Also, the code is more clean and easier to use.

1.0.0.0