On Gibbs sampling for state space models
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[1] Fred C. Schweppe,et al. Evaluation of likelihood functions for Gaussian signals , 1965, IEEE Trans. Inf. Theory.
[2] G. C. Tiao,et al. A bayesian approach to some outlier problems. , 1968, Biometrika.
[3] P. A. P. Moran,et al. The estimation of standard errors in Monte Carlo simulation experiments , 1975 .
[4] B. Anderson,et al. Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.
[5] G. Wahba. Bayesian "Confidence Intervals" for the Cross-validated Smoothing Spline , 1983 .
[6] G. Kitagawa,et al. A Smoothness Priors–State Space Modeling of Time Series with Trend and Seasonality , 1984 .
[7] R. Kohn,et al. Estimation, Filtering, and Smoothing in State Space Models with Incompletely Specified Initial Conditions , 1985 .
[8] R. Kohn,et al. A new algorithm for spline smoothing based on smoothing a stochastic process , 1987 .
[9] Richard J. Meinhold,et al. Robustification of Kalman Filter Models , 1989 .
[10] James D. Hamilton. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .
[11] Robert Kohn,et al. FILTERING AND SMOOTHING IN STATE SPACE MODELS WITH PARTIALLY DIFFUSE INITIAL CONDITIONS , 1990 .
[12] Adrian F. M. Smith,et al. Sampling-Based Approaches to Calculating Marginal Densities , 1990 .
[13] K. Gordon,et al. Modeling and Monitoring Biomedical Time Series , 1990 .
[14] R. Shumway,et al. Dynamic linear models with switching , 1991 .
[15] Nicholas G. Polson,et al. A Monte Carlo Approach to Nonnormal and Nonlinear State-Space Modeling , 1992 .
[16] Jun S. Liu,et al. Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes , 1994 .
[17] L. Tierney. Markov Chains for Exploring Posterior Distributions , 1994 .