Robust Bootstrap estimation of Subset ARX systems
Version 1.2.0 (5.75 KB) by
Carlo Grillenzoni
Performs various robust estimations of subset ARX models, with block-bootstrap computation of their standard errors for identification.
ARX_roboot.m performs robust estimation with various criterions (e.g. winsorized OLS, least absolute deviations (LAD), least trimmed of squares (LTS), M-estimation with bisquare loss, etc.) of single-input subset ARX models. Inference and identification of the subset structure is performed with block-bootstrap computation of their standard error. ARX_roboot_demo.m illustrates the various methods on simulated series with comments.
Cite As
Carlo Grillenzoni (2024). Robust Bootstrap estimation of Subset ARX systems (https://www.mathworks.com/matlabcentral/fileexchange/102985-robust-bootstrap-estimation-of-subset-arx-systems), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2021b
Compatible with any release
Platform Compatibility
Windows macOS LinuxTags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.