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6 Markov Chains 205 6.1 Markov Models Are State Space Models 205 6.2 Simple Examples 208 6.3 Spectra and Ergodicity 211 6.4 A Random Glance Ahead 215 6.5 Poisson ' s Equation 216 6.6 Lyapunov Functions 218 6.7 Simulation: Confidence Bounds and Control Variates 222 6.8 Sensitivity and Actor-Only Methods 230 6.9 Ergodic Theory for General Markov Chains* 233 6.10练习236 6.11笔记243
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