Abstract In this paper, we study sample size thresholds for maximum likelihood estimation tensor normal models. Given the model parameters and number of samples, determine whether, almost surely, (1) function is bounded from above, (2) estimates (MLEs) exist, (3) MLEs exist uniquely. We obtain a complete answer both real complex One consequence our results that sure boundedness log-likelihood g...