What is model identifiability in regression?

Updated May 16, 2026

Short answer

A model is identifiable when unique parameter values can be estimated.

Deep explanation

If multiple parameter sets produce identical predictions, the model is not identifiable. This often occurs with multicollinearity or redundant features.

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