Artículo: AMZ-0471201707

The EM Algorithm and Extensions (Wiley Series in Probability and Statistics)

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0.77 kg
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Sobre este producto
  • New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm
  • New results on convergence, including convergence of the EM algorithm in constrained parameter spaces
  • Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation
  • Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space
  • Exploration of the EM algorithm's relationship with the Gibbs sampler and other Markov chain Monte Carlo methods
  • Plentiful pedagogical elements―chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site
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