Monte Carlo Statistical Methods
暂无分享,去创建一个
[1] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .
[2] R. Beran. Minimum Hellinger distance estimates for parametric models , 1977 .
[3] K. Athreya,et al. A New Approach to the Limit Theory of Recurrent Markov Chains , 1978 .
[4] O. Barndorff-Nielsen. On a formula for the distribution of the maximum likelihood estimator , 1983 .
[5] L. Bauwens,et al. A 1-1 poly-t Random variable generator with application to Monte Carlo integration , 1985 .
[6] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[7] L. Devroye. Non-Uniform Random Variate Generation , 1986 .
[8] A. Rossier. Letter to the Editor , 1986, Paraplegia.
[9] Upendra Dave,et al. Applied Probability and Queues , 1987 .
[10] J. Bernardo,et al. A Bayesian approach to cluster analysis , 1988 .
[11] J. Berger. Statistical Decision Theory and Bayesian Analysis , 1988 .
[12] J. Albert. Computational methods using a Bayesian hierarchical generalized linear model , 1988 .
[13] D. Cox,et al. Asymptotic techniques for use in statistics , 1989 .
[14] J. Berger. Robust Bayesian analysis : sensitivity to the prior , 1990 .
[15] P. Barone,et al. Improving Stochastic Relaxation for Gussian Random Fields , 1990, Probability in the Engineering and Informational Sciences.
[16] O. Barndorff-Nielsen. Modified signed log likelihood ratio , 1991 .
[17] Peter W. Glynn,et al. Stationarity detection in the initial transient problem , 1992, TOMC.
[18] J. Hartigan,et al. Product Partition Models for Change Point Problems , 1992 .
[19] Martin Abba Tanner,et al. Tools for Statistical Inference: Observed Data and Data Augmentation Methods , 1993 .
[20] J. Besag,et al. Spatial Statistics and Bayesian Computation , 1993 .
[21] Richard L. Tweedie,et al. Markov Chains and Stochastic Stability , 1993, Communications and Control Engineering Series.
[22] J. Hartigan,et al. A Bayesian Analysis for Change Point Problems , 1993 .
[23] Julian Besag,et al. Towards Bayesian image analysis , 1993 .
[24] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[25] S. Chib,et al. Bayes inference via Gibbs sampling of autoregressive time series subject to Markov mean and variance shifts , 1993 .
[26] Peter Green,et al. Spatial statistics and Bayesian computation (with discussion) , 1993 .
[27] Hani Doss. Discussion: Markov Chains for Exploring Posterior Distributions , 1994 .
[28] Walter R. Gilks,et al. MCMC for nonlinear hierarchical models , 1995 .
[29] P. Bertail,et al. The Weighted Bootstrap , 1995 .
[30] D. Titterington,et al. Parameter estimation for hidden Markov chains , 2002 .
[31] Luc Devroye,et al. The computer generation of poisson random variables , 1981, Computing.
[32] Joachim H. Ahrens,et al. Computer methods for sampling from gamma, beta, poisson and bionomial distributions , 1974, Computing.