Machine Learning, Signal Processing, Bayesian Statistics, Editors Pick, Getting Started.
loss function is the mode of the posterior distribution (The value of θ that maximizes the posterior distribution). This is exactly what MAP estimation does. This means MAP estimator is a Bayes estimator when the cost function is 0–1. Photo by v2osk on Unsplash Properties of the Estimators