Contents 1 Markov Chain Monte Carlo Methods y 1.4 The Gibbs Sampler....................... 1.4.1 The Slice Gibbs Sampler................ 12 1.5 Monitoring Convergence······ 21 1.5.1.Convergence diagnostics plots·..·········· 21 1.5.2 Monte Carlo Error .... 22 1.5.3 The Gelman-Rubin Method ............. 25 l.6 VinBUGS Introduction·.···.. 33 l.6.1'Building Bayesian models in WinBUGS·.·.·.· 33 1.6.2 Model specification in WinBUGS..········· 36 1.6.3 Data and initial value specification。..·.·.··· 38 1.6.4 Compiling model and simulating values .. 46 Previous Next First Last Back Forward 1Contents 1 Markov Chain Monte Carlo Methods 1 1.4 The Gibbs Sampler . . . . . . . . . . . . . . . . . . . . . . . 1 1.4.1 The Slice Gibbs Sampler . . . . . . . . . . . . . . . . 12 1.5 Monitoring Convergence . . . . . . . . . . . . . . . . . . . . 21 1.5.1 Convergence diagnostics plots . . . . . . . . . . . . . 21 1.5.2 Monte Carlo Error . . . . . . . . . . . . . . . . . . . 22 1.5.3 The Gelman-Rubin Method . . . . . . . . . . . . . . 25 1.6 WinBUGS Introduction . . . . . . . . . . . . . . . . . . . . 33 1.6.1 Building Bayesian models in WinBUGS . . . . . . . 33 1.6.2 Model specification in WinBUGS . . . . . . . . . . . 36 1.6.3 Data and initial value specification . . . . . . . . . . 38 1.6.4 Compiling model and simulating values . . . . . . . 46 Previous Next First Last Back Forward 1