AMCMC: An R interface for adaptive MCMC
暂无分享,去创建一个
[1] Christophe Andrieu,et al. On the efficiency of adaptive MCMC algorithms , 2006, valuetools '06.
[2] Adrian F. M. Smith,et al. Sampling-Based Approaches to Calculating Marginal Densities , 1990 .
[3] B. Efron,et al. Data Analysis Using Stein's Estimator and its Generalizations , 1975 .
[4] J. Rosenthal,et al. On adaptive Markov chain Monte Carlo algorithms , 2005 .
[5] Gareth W. Peters,et al. Model Uncertainty in Claims Reserving within Tweedie's Compound Poisson Models , 2009, ASTIN Bulletin.
[6] C. Morris. Parametric Empirical Bayes Confidence Intervals , 1983 .
[7] Jeffrey S. Rosenthal,et al. Coupling and Ergodicity of Adaptive MCMC , 2007 .
[8] J. Bernardo,et al. Exact sampling for Bayesian inference : towards general purpose algorithms , 1998 .
[9] P. Giordani,et al. Adaptive Independent Metropolis–Hastings by Fast Estimation of Mixtures of Normals , 2008, 0801.1864.
[10] Jeffrey S. Rosenthal,et al. Analysis of the Gibbs Sampler for a Model Related to James-stein Estimators , 2007 .
[11] Arnaud Doucet,et al. Interacting sequential Monte Carlo samplers for trans-dimensional simulation , 2008, Comput. Stat. Data Anal..
[12] Heikki Haario,et al. Componentwise adaptation for high dimensional MCMC , 2005, Comput. Stat..
[13] K. He,et al. PARAMETRIC EMPIRICAL BAYES CONFIDENCE INTERVALS BASED ON JAMES-STEIN ESTIMATOR , 1992 .
[14] G. Box,et al. Scientific Inference, Data Analysis and Robustness. , 1985 .
[15] Gareth O. Roberts,et al. Examples of Adaptive MCMC , 2009 .
[16] J. Rosenthal,et al. Optimal scaling for various Metropolis-Hastings algorithms , 2001 .