In testing a null hypothesis on the basis of independent and identically distributed observations let $\hat{T}_{n}$ be the normalized likelihood ratio statistic and ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

A general two-level latent variable model is developed to provide a comprehensive framework for model comparison of various submodels. Nonlinear relationships among the latent variables in the ...