Question: For a loglinear model, explain heuristically why the ML estimate of a parameter is infinite when its sufficient statistics takes its maximum or minimum possible

For a loglinear model, explain heuristically why the ML estimate of a parameter is infinite when its sufficient statistics takes its maximum or minimum possible value, for given values of other sufficient statistics.

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