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Found 3 papers, 1 papers with code
Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist
In a regular full exponential family, the maximum likelihood estimator (MLE) need not exist, in the traditional sense, but the MLE may exist in the Barndorff-Nielsen completion of the family.
Statistics Theory Statistics Theory
Automatic Response Category Combination in Multinomial Logistic Regression
We propose a penalized likelihood method that simultaneously fits the multinomial logistic regression model and combines subsets of the response categories.
Ridge Fusion in Statistical Learning
We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering.
