On Bayesian inference for the M/G/1 queue with efficient MCMC sampling
暂无分享,去创建一个
[1] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[2] T. Amemiya. Non-linear regression models , 1983 .
[3] Radford M. Neal,et al. Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models , 2003, NIPS.
[4] Radford M. Neal. Markov Chain Sampling for Non-linear State Space Models Using Embedded Hidden Markov Models , 2003, math/0305039.
[5] C. Geyer. The Metropolis-Hastings-Green Algorithm , 2005 .
[6] Paul Fearnhead,et al. Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC , 2010, 1004.1112.
[7] Olivier François,et al. Non-linear regression models for Approximate Bayesian Computation , 2008, Stat. Comput..
[8] Radford M. Neal. Probabilistic Inference Using Markov Chain Monte Carlo Methods , 2011 .
[9] Fernando V. Bonassi. Approximate Bayesian computation for complex dynamic systems , 2013 .
[10] Radford M. Neal,et al. MCMC for non-Linear State Space Models Using Ensembles of Latent Sequences , 2013 .
[11] M. Li,et al. Particle Markov chain Monte Carlo methods , 2015 .