The Erdős–Rényi random graph maximum likelihood threshold conjecture
The Erdős–Rényi random graph maximum likelihood threshold conjecture
Let be a random graph generated according to the Erdős–Rényi model , where is a fixed positive real number, and let be the minimum integer such that is -independent. Maximum likelihood threshold conjecture. The maximum likelihood threshold of is with high probability. This conjecture predicts that the upper bound for maximum likelihood thresholds is sharp for Erdős–Rényi random graphs; it is supported by computational experiments, but no resolution is given here.
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Sources & referencesView supporting material
Primary source
Daniel Irving Bernstein, “Rigidity theory in statistical inference”, arXiv:2601.10864 (2026).
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