Matches in Harvard for { ?s ?p 1. Introduction -- 2. Normal Approximations to Likelihoods and to Posteriors -- 3. Nonnormal Approximations to Likelihoods and Posteriors -- 4. The EM Algorithm -- 5. The Data Augmentation Algorithm -- 6. Markov Chain Monte Carlo: The Gibbs Sampler and the Metropolis Algorithm.. }
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- catalog description "1. Introduction -- 2. Normal Approximations to Likelihoods and to Posteriors -- 3. Nonnormal Approximations to Likelihoods and Posteriors -- 4. The EM Algorithm -- 5. The Data Augmentation Algorithm -- 6. Markov Chain Monte Carlo: The Gibbs Sampler and the Metropolis Algorithm.".
- catalog tableOfContents "1. Introduction -- 2. Normal Approximations to Likelihoods and to Posteriors -- 3. Nonnormal Approximations to Likelihoods and Posteriors -- 4. The EM Algorithm -- 5. The Data Augmentation Algorithm -- 6. Markov Chain Monte Carlo: The Gibbs Sampler and the Metropolis Algorithm.".