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This tag describes the process of creating a statistical or machine learning model. Always add a more specific tag.
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Central limit theorem for maximum likelihood estimators when modelling assumptions are violated
Lehman's Element's of Statistical Learning Theory gives in Theorem 7.5.2 a central limit theorem for multiparamter maximum likelihood estimators. (Many other sources provide similar theorems.) The t …