Calculus of Thought

Chapter 2

Most Likely Inference

Abstract

This chapter reviewed the connection of RELR to maximum entropy and maximum likelihood estimation methods. In particular, RELR was reviewed with respect to the principle of Jaynes which has origins in statistical mechanics. This Jaynes principle views the goal of estimation in complex systems to generate most likely inference given the available certain constraints measurements. RELR extends this principle to most likely inference given most likely constraints on measurements. This chapter reviewed how RELR's error modeling is a form of errors-in-variables regression which assumes that error exists in both independent and dependent variables. RELR's error modeling was then reviewed which makes three critical ...