[1] Hamilton J. A new approach to the economic analysis of nonstationary time series and the business cycle[J]. Econometrica, 1989, (2):357-384.
[2] Hamilton J. Time series analysis[M]. New Jersey: Princeton University press, 1994.
[3] Krolzig M. Statistical analysis of cointegrated VAR processes with markovian regime shifts[R].Working Papers, Humboldt University, 1996.
[4] Cai Jun. A Markov model of switching-regime ARCH[J]. Journal of Business and Economic Statistics, 1994, 12(3):309-316.
[5] Garcia R, Perron P. An analysis of the real interest rate under regime shifts[J]. The Review of Economics and Statistics, 1996, 78(1):111-125.
[6] Mills T C, Wang Ping. Regime shifts in European real interest rates[J].Review of world economics, 2003, 139(1)66-81.
[7] 朱钧钧, 谢识予.上证综指马尔可夫转换模型的MCMC估计和分析[J].系统工程, 2010, 28(4):9-14.
[8] 朱钧钧, 谢识予.中国股市波动率的双重不对称性及其解释——基于MS_TGARCH模型的MCMC估计和分析[J].金融研究, 2011, (3): 134-148.
[9] 严太华, 陈明玉.基于马尔科夫切换模型的上证指数周收益率时间序列分析[J].中国管理科学, 2009, 17(6):33-38.
[10] Kim C J, Nelson C R. State-space models with regime-switching: Classical and gibbs-sampling approaches with applications[M].Cambridge, Mass: The MIT Press, 1999.
[11] Psaradakis Z, Sola M. Finite sample properties of the maximum likelihood estimator in autoregressive models with Markov switching[J].Journal of Econometrics, 1998, 86:369-386.
[12] Beal M J, Ghahramani Z, Rasmussen C E. The infinite hidden markov model[M].//Dietterich T G, Ghahrama Z ni. Advances in neural information processing systems. Cambridge, MA:MIT Press, 2002.
[13] Teh Y W, Jordan M I, Beal M J, et al. Hierarchical dirichlet processes[J]. Journal of the American Statistical Association, 2006, 101:1566-1581.
[14] Fox E B, Sudderth E B, Jordan M I, et al. Nonparametric bayesian learning of switching linear dynamical systems[M].//Koller D. Advances in neural information processing systems 21, Cambridge, MA:MIT Press, 2009.
[15] Carvalho C, Lopes H. Simulation based sequential analysis of Markov switching stochastic volatility models[J].Computational Statistics and Data Analysis, 2006, 51(9):4526-4542.
[16] 张兵.基于状态转换方法的中国股市波动研究[J].金融研究, 2005, (3):100-108.
[17] 高金余, 陈翔.马尔可夫切换模型及其在中国股市中的应用[J].中国管理科学, 2007, 15(6):20-25.
[18] Geweke J, Amisano G. Comparing and evaluating Bayesian predictive distributions of asset returns[J]. International Journal of Forecasting, 2010, 26(2):216-230.
[19] Kass R E, Raftery A E. Bayes factors[J]. Journal of the American Statistical Association, 1995, 90(430):773-795.
[20] Dawid A P. Statistical theory: The prequential approach[J]. Journal of the Royal Statistical Society, 1984, Ser. A, 147:278-292.
[21] Brock W A, Dechert D, Scheinkman H, et al. A test for independence based on correlation dimension[J]. Econometric Reviews, 1996, 15(3):187-235.
[22] Luginbuhl R, Vos A. Bayesian analysis of an unobserved component time series model of GDP with Markov switching and time varying growths[J]. Journal of Business and Economic Statistics, 1999, 17(4):456-465.
[23] Albert J H, Chib S. Bayes inference via gibbs sampling of autoregressive time series subject to markov mean and variance shifts[J]. Journal of Business and Economic Statistics, 1993, 11(1):1-15.
[24] Perlin M.MS_regress-the MATLAB Package for Markov regime switching models[EB/OL] . 2010-11-26.http://ssrn.com/abstract=1714016. |
