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• Methods
  <!-- Menu for the Extensions chapter --> ...the log-likelihood via importance sampling| Log-likelihood via importance sampling]]
  579 bytes (64 words) - 13:51, 29 April 2013
• Estimation of the log-likelihood
  == Estimation using importance sampling == ...({\like}(\theta;\by))$ can be estimated without requiring approximation of the model, using a Monte Carlo approach.
  10 KB (1,524 words) - 15:43, 3 June 2013