Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
State Space Methods in Ox/SsfPack | Pelagatti | Journal of Statistical Software
Authors: Matteo M. Pelagatti
Title: State Space Methods in Ox/SsfPack
Abstract: The use of state space models and their inference is illustrated using the package SsfPack for Ox. After a rather long introduction that explains the use of SsfPack and many of its functions, four case-studies illustrate the practical implementation of the software to real world problems through short sample programs.
The first case consists in the analysis of the well-known (at least to time series analysis experts) Nile data with a local level model. The other case-studies deal with ARIMA and RegARIMA models applied to the (also well-known) Airline time series, structural time series models applied to the Italian industrial production index and stochastic volatility models applied to the FTSE100 index. In all applications inference on the model (hyper-) parameters is carried out by maximum likelihood, but in one case (stochastic volatility) also an MCMC-based approach is illustrated. Cubic splines are covered in a very short example as well.

Page views:: 5694. Submitted: 2010-01-15. Published: 2011-05-12.
Paper: State Space Methods in Ox/SsfPack     Download PDF (Downloads: 5743)
Supplements: Replication code and data Download (Downloads: 1395; 149KB)

DOI: 10.18637/jss.v041.i03

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.