927 results in Applied probability and stochastic networks
12 - Ignorance priors and transformation groups
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8 - Sufficiency, ancillarity, and all that
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Preface
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Editor's foreword
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22 - Introduction to communication theory
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References
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2 - The quantitative rules
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18 - The Ap distribution and rule of succession
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Part II - Advanced applications
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Appendix A - Other approaches to probability theory
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Finite Markov Chains and Algorithmic Applications
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Frontmatter
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8 - Fast convergence of MCMC algorithms
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10 - The Propp–Wilson algorithm
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6 - Reversible Markov chains
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11 - Sandwiching
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12 - Propp–Wilson with read-once randomness
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3 - Computer simulation of Markov chains
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7 - Markov chain Monte Carlo
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9 - Approximate counting
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