Estimation Theory

Estimation theory asks how well a parameter can be recovered from noisy observations, and answers with bounds rather than recipes. The Cramér-Rao bound sets a floor on the variance of any unbiased estimator in terms of the Fisher information, which makes the limit a property of the model rather than of the analyst. Writing here uses estimation theory where it touches information geometry and filtering, and where the bound is the interesting object.