Minimum distance estimation in autoregressive model
Version 1.0.0.0 (8.27 KB) by
Jason
This package is for minimum distance estimator in autoregression model
Consider autoregressive model of order p where the distribution function of innovation is unknown, but innovations are independetnt and symmetrically distributed. The package contains a function named armde which takes X (vector of n observations) and p (order of the model) as input argument and returns minimum distance estimator of the parameters in the model.
Cite As
Jason (2026). Minimum distance estimation in autoregressive model (https://se.mathworks.com/matlabcentral/fileexchange/52985-minimum-distance-estimation-in-autoregressive-model), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2011a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Computational Finance > Econometrics Toolbox > Conditional Mean Models >
- Computational Finance > Econometrics Toolbox > Multivariate Models >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
