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SsfPack   經濟計量分析軟體

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SsfPack

SsfPack是一套C語言例程,涉及的統計分析,時間序列模型的狀態空間形式進行計算。SsfPack提供了可能性評估及信號提取任意用戶指定的線性高斯狀態空間模型的功能,允許不隨時間變化,從簡單的單變量形式隨時間變化的複雜的多變量規格型號,估計。基本功能也是可用的預測,瞬間平滑和模擬平滑。此外,提供的功能是把標準模型,如自回歸移動平均(ARMA),未觀察到的組件(UC)和三次樣條模型的狀態空間形式。

 

SsfPack is a suite of C routines for carrying out computations involving the statistical analysis of time series models in state space form. SsfPack provides functions for likelihood evaluation and signal extraction of arbitrary user specified linear Gaussian state space models, allowing the estimation of models ranging from simple time-invariant univariate forms to complicated time-varying multivariate specifications. Basic functions are available for prediction, moment smoothing and simulation smoothing. Additionally, functions are provided which put standard models such as autoregressive moving average (ARMA), unobserved components (UC) and cubic spline models in state space form.

The functions from SsfPack can be easily used for implementing, fitting and analysing linear Gaussian models relevant to many areas of econometrics, statistics and time series analysis. Further, SsfPack provides tools for estimating many non-Gaussian and nonlinear models using implement simulation based estimation methods such as importance sampling and Markov chain Monte Carlo (MCMC) methods.

SsfPack is primarily developed as a module for the object-oriented matrix programming language Ox. The library is written in C, which greatly improves execution speed compared to a direct Ox implementation. A free version of SsfPack for academic research and teaching purposes can be downloaded from this website.

 

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