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Statistics & Operations Research Transactions SORT
Likelihood estimates of the Dirichlet distribution parameters can be obtained only through numerical algorithms. Such algorithms can provide estimates outside the correct range for the parameters and/or can require a large amount of iterations to reach convergence. These problems can be aggravated if good starting values are not provided. In this paper we discuss several approaches that can partially avoid these problems providing a good trade off between efficiency and stability. Thefatcat:yf4p6rlarrbqpev6lw2ak66ksu