The Ornstein–Uhlenbeck Dirichlet process and other time-varying processes for Bayesian nonparametric inference
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[1] T. Ferguson,et al. A Representation of Independent Increment Processes without Gaussian Components , 1972 .
[2] D. Blackwell,et al. Ferguson Distributions Via Polya Urn Schemes , 1973 .
[3] T. Ferguson. A Bayesian Analysis of Some Nonparametric Problems , 1973 .
[4] J. Kingman. Random Discrete Distributions , 1975 .
[5] École d'été de probabilités de Saint-Flour,et al. École d'été de probabilités de Saint-Flour XIII - 1983 , 1985 .
[6] D. Aldous. Exchangeability and related topics , 1985 .
[7] Stephen L Taylor,et al. Modelling Financial Time Series , 1987 .
[8] Stephen L Taylor,et al. Modelling Financial Time Series , 1987 .
[9] M. Escobar,et al. Bayesian Density Estimation and Inference Using Mixtures , 1995 .
[10] J. Pitman,et al. Random Discrete Distributions Derived from Self-Similar Random Sets , 1996 .
[11] Jun S. Liu. Nonparametric hierarchical Bayes via sequential imputations , 1996 .
[12] J. Pitman,et al. The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator , 1997 .
[13] B. Mallick,et al. Combining information from several experiments with nonparametric priors , 1997 .
[14] P. Fearnhead,et al. Improved particle filter for nonlinear problems , 1999 .
[15] Jun S. Liu,et al. Sequential importance sampling for nonparametric Bayes models: The next generation , 1999 .
[16] P. Damlen,et al. Gibbs sampling for Bayesian non‐conjugate and hierarchical models by using auxiliary variables , 1999 .
[17] P. Fearnhead,et al. An improved particle filter for non-linear problems , 1999 .
[18] O. Barndorff-Nielsen. Superposition of Ornstein--Uhlenbeck Type Processes , 2001 .
[19] N. Shephard,et al. Non‐Gaussian Ornstein–Uhlenbeck‐based models and some of their uses in financial economics , 2001 .
[20] Lancelot F. James,et al. Gibbs Sampling Methods for Stick-Breaking Priors , 2001 .
[21] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[22] B. Werker. Discussion of "Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics" by Barndorff-Nielsen and Shephard , 2001 .
[23] M. Steel,et al. Inference With Non-Gaussian Ornstein-Uhlenbeck Processes for Stochastic Volatility , 2006 .
[24] A. Lijoi,et al. Distributional results for means of normalized random measures with independent increments , 2003 .
[25] Radford M. Neal. Slice Sampling , 2003, The Annals of Statistics.
[26] Lancelot F. James,et al. Some further developments for stick-breaking priors: Finite and infinite clustering and classification , 2003 .
[27] S. Walker. Invited comment on the paper "Slice Sampling" by Radford Neal , 2003 .
[28] Fernando A. Quintana,et al. Nonparametric Bayesian data analysis , 2004 .
[29] Paul Fearnhead,et al. Particle filters for mixture models with an unknown number of components , 2004, Stat. Comput..
[30] S. Walker,et al. Normalized random measures driven by increasing additive processes , 2004, math/0508592.
[31] Stephen G. Walker,et al. Stationary Autoregressive Models via a Bayesian Nonparametric Approach , 2005 .
[32] J. Lafferty,et al. Time-Sensitive Dirichlet Process Mixture Models , 2005 .
[33] Murad S. Taqqu,et al. Fractional Ornstein-Uhlenbeck Lévy processes and the Telecom process: Upstairs and downstairs , 2005, Signal Process..
[34] Lancelot F. James,et al. Bayesian Inference Via Classes of Normalized Random Measures , 2005, math/0503394.
[35] Ramsés H. Mena,et al. Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors , 2005 .
[36] Ruey S. Tsay,et al. Analysis of Financial Time Series , 2005 .
[37] N. Shephard. Stochastic Volatility: Selected Readings , 2005 .
[38] J. E. Griffin,et al. Order-Based Dependent Dirichlet Processes , 2006 .
[39] D. Stephens,et al. Stochastic Volatility Modelling with General Marginal Distributions : Inference , Prediction and Model Selection For Option Pricing . , 2006 .
[40] Lancelot F. James. Laws and Likelihoods for Ornstein Uhlenbeck-Gamma and other BNS OU Stochastic Volatilty models with extensions , 2006, math/0604086.
[41] David B Dunson,et al. Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data , 2006, Biometrics.
[42] Yee Whye Teh,et al. A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes , 2006, ACL.
[43] Ramsés H. Mena,et al. Controlling the reinforcement in Bayesian non‐parametric mixture models , 2007 .
[44] G. Roberts,et al. Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models , 2007, 0710.4228.
[45] Arnaud Doucet,et al. Generalized Polya Urn for Time-varying Dirichlet Process Mixtures , 2007, UAI.
[46] D. Stephens,et al. Stochastic volatility modelling in continuous time with general marginal distributions: Inference, prediction and model selection , 2007 .
[47] Arnaud Doucet,et al. Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures , 2007, IEEE Transactions on Signal Processing.
[48] Lancelot F. James,et al. Posterior Analysis for Normalized Random Measures with Independent Increments , 2009 .
[49] Jim E. Griffin,et al. Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes , 2010, Comput. Stat. Data Anal..
[50] Jim E. Griffin,et al. Stick-breaking autoregressive processes , 2011 .
[51] J. Griffin,et al. Posterior Simulation of Normalized Random Measure Mixtures , 2011 .
[52] Zhongxian Men,et al. Bayesian Inference for Stochastic Volatility Models , 2012 .
[53] 佐藤 健一. Lévy processes and infinitely divisible distributions , 2013 .