Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
The State Space Models Toolbox for MATLAB | Peng | Journal of Statistical Software
Authors: Jyh-Ying Peng, John A. D. Aston
Title: The State Space Models Toolbox for MATLAB
Abstract: State Space Models (SSM) is a MATLAB toolbox for time series analysis by state space methods. The software features fully interactive construction and combination of models, with support for univariate and multivariate models, complex time-varying (dy- namic) models, non-Gaussian models, and various standard models such as ARIMA and structural time-series models. The software includes standard functions for Kalman fil- tering and smoothing, simulation smoothing, likelihood evaluation, parameter estimation, signal extraction and forecasting, with incorporation of exact initialization for filters and smoothers, and support for missing observations and multiple time series input with com- mon analysis structure. The software also includes implementations of TRAMO model selection and Hillmer-Tiao decomposition for ARIMA models. The software will provide a general toolbox for time series analysis on the MATLAB platform, allowing users to take advantage of its readily available graph plotting and general matrix computation capabilities.

Page views:: 33922. Submitted: 2010-01-18. Published: 2011-05-12.
Paper: The State Space Models Toolbox for MATLAB     Download PDF (Downloads: 38295)
Supplements:
ssm-1.0.1.zip: MATLAB toolbox including examples from paper Download (Downloads: 2550; 400KB)

DOI: 10.18637/jss.v041.i06

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Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.