GLM maximum likelihood estimators have almost sure error of order sqrt(log log n / n), and penalties growing faster than log log n make model selection strongly consistent.
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Law of the Iterated Logarithm and Model Selection Consistency for GLMs with Independent and Dependent Responses
GLM maximum likelihood estimators have almost sure error of order sqrt(log log n / n), and penalties growing faster than log log n make model selection strongly consistent.