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Asymptotics for likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters
We establish the asymptotic distribution of likelihood ratio tests when nuisance parameters are unidentifiable under the null hypothesis, parameters of interest lie on the boundary, and the information matrix of the identifiable parameters may be singular. Mixture models, change point models and gen
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