Bayesian Inference for Markov Switching Stochastic Volatility Models
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[1] C. Geyer. On the Convergence of Monte Carlo Maximum Likelihood Calculations , 1994 .
[2] Nicholas G. Polson,et al. State Space and Unobserved Component Models: Practical filtering for stochastic volatility models , 2004 .
[3] G. Kitagawa. A self-organizing state-space model , 1998 .
[4] P. Manimaran,et al. Modelling Financial Time Series , 2006 .
[5] Michael A. West,et al. Bayesian forecasting and dynamic models (2nd ed.) , 1997 .
[6] Michael A. West,et al. Combined Parameter and State Estimation in Simulation-Based Filtering , 2001, Sequential Monte Carlo Methods in Practice.
[7] N. Shephard,et al. Non-Gaussian OU based models and some of their uses in financial economics , 2000 .
[8] A. Doucet,et al. A survey of convergence results on particle ltering for practitioners , 2002 .
[9] S. Godsill. MCMC and EM-based methods for inference in heavy-tailed processes with /spl alpha/-stable innovations , 1999, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99.
[10] A. Gallant,et al. Estimation of Stochastic Volatility Models with Diagnostics , 1995 .
[11] A. Gallant,et al. Which Moments to Match? , 1995, Econometric Theory.
[12] Mike K. P. So,et al. A Stochastic Volatility Model With Markov Switching , 1998 .
[13] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[14] Neil Shephard,et al. Fitting Nonlinear Time-Series Models with Applications to Stochastic Variance Models , 1993 .
[15] P. Clark. A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices , 1973 .
[16] S. Taylor. Financial Returns Modelled by the Product of Two Stochastic Processes , 1961 .
[17] G. Casella,et al. Rao-Blackwellisation of sampling schemes , 1996 .
[18] Charles J. Geyer,et al. Estimation and Optimization of Functions , 1996 .
[19] N. G. Best,et al. Dynamic conditional independence models and Markov chain Monte Carlo methods , 1997 .
[20] Nicholas G. Polson,et al. Nonlinear Filtering of Stochastic Differential Equations with Jumps , 2002 .
[21] Jun S. Liu,et al. Sequential Monte Carlo methods for dynamic systems , 1997 .
[22] N. Shephard,et al. Stochastic Volatility: Likelihood Inference And Comparison With Arch Models , 1996 .
[23] J. Richard,et al. Accelerated gaussian importance sampler with application to dynamic latent variable models , 1993 .
[24] L. Harris,et al. A maximum likelihood approach for non-Gaussian stochastic volatility models , 1998 .
[25] J. Durbin,et al. Monte Carlo maximum likelihood estimation for non-Gaussian state space models , 1997 .
[26] D. Buckle. Bayesian Inference for Stable Distributions , 1995 .
[27] W. Gilks,et al. Following a moving target—Monte Carlo inference for dynamic Bayesian models , 2001 .
[28] Bjørn Eraker. MCMC Analysis of Diffusion Models With Application to Finance , 2001 .
[29] W. Linde. STABLE NON‐GAUSSIAN RANDOM PROCESSES: STOCHASTIC MODELS WITH INFINITE VARIANCE , 1996 .
[30] Geir Storvik,et al. Particle filters for state-space models with the presence of unknown static parameters , 2002, IEEE Trans. Signal Process..
[31] T. Andersen. Stochastic Autoregressive Volatility: A Framework for Volatility Modeling , 1994 .
[32] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[33] M. Taqqu,et al. Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance , 1995 .
[34] N. Shephard,et al. The simulation smoother for time series models , 1995 .
[35] N. Shephard,et al. Multivariate stochastic variance models , 1994 .
[36] Peter E. Rossi,et al. Bayesian Analysis of Stochastic Volatility Models , 1994 .
[37] Christophe Andrieu,et al. Online expectation-maximization type algorithms for parameter estimation in general state space models , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[38] N. Shephard,et al. Markov chain Monte Carlo methods for stochastic volatility models , 2002 .
[39] Nicholas G. Polson,et al. MCMC Methods for Financial Econometrics , 2002 .
[40] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[41] Estimation of an asymmetric model of asset prices , 1996 .
[42] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[43] Christian Francq,et al. Ergodicity of Autoregressive Processes with Markov-Switching and Consistency of the Maximum-Likelihood Estimator , 1998 .
[44] Christian Musso,et al. Improving Regularised Particle Filters , 2001, Sequential Monte Carlo Methods in Practice.
[45] J. Zakoian,et al. Stationarity of Multivariate Markov-Switching ARMA Models , 2001 .
[46] James D. Hamilton. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .
[47] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[48] Stephen L Taylor,et al. Modelling Financial Time Series , 1987 .
[49] Sequential Inference and State Number Determination for Discrete State-Space Models through Particle Filtering , 2001 .
[50] Jón Dańıelsson. Stochastic volatility in asset prices estimation with simulated maximum likelihood , 1994 .
[51] Bent E. Sørensen,et al. GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study , 1996 .
[52] A. U.S.. Practical Filtering with Sequential Parameter Learning , 2002 .
[53] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[54] Sylvia Richardson,et al. Markov Chain Monte Carlo in Practice , 1997 .
[55] N. Shephard,et al. Modelling by L´ evy Processes for Financial Econometrics , 2000 .
[56] Alan G. White,et al. The Pricing of Options on Assets with Stochastic Volatilities , 1987 .
[57] M. Pitt,et al. Likelihood analysis of non-Gaussian measurement time series , 1997 .
[58] 竹中 茂夫. G.Samorodnitsky,M.S.Taqqu:Stable non-Gaussian Random Processes--Stochastic Models with Infinite Variance , 1996 .
[59] S. Turnbull,et al. Pricing foreign currency options with stochastic volatility , 1990 .
[60] Wai Keung Li,et al. Multivariate modelling of the autoregressive random variance process , 1997 .
[61] M. Pitt,et al. Filtering via Simulation: Auxiliary Particle Filters , 1999 .
[62] Michael A. West. Mixture Models, Monte Carlo, Bayesian Updating and Dynamic Models , 1992 .