Machine Learning, Signal Processing, Bayesian Statistics, Editors Pick, Getting Started.
formulation. Consistent Estimator An estimator is said to be consistent if it converges to the true parameter in distribution as the number of samples approaches infinity. Intuitively consistency implies that the estimator gets more concentrated around the θ as the sample size increases.