For random samples of size n obtained from p-variate normal distributions, we consider the classical likelihood ratio tests (LRT) for their means and covariance matrices in the high-dimensional ...
In certain multivariate problems the full probability density has an awkward normalizing constant, but the conditional and/or marginal distributions may be much more tractable. In this paper we ...
Figure 1: Likelihood-based methods are less accurate than maximum parsimony (MP) under heterogeneous conditions. Figure 2: Parsimony outperforms likelihood over a wide range of heterotachous ...
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