2007/10/15 by Adom Giffin, Giffin, Adom
Decision Sciences · Mathematics · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Statistical Mechanics and Entropy #Statistical and numerical algorithms
paper · pdf · doi:10.48550/arxiv.0710.2912
openalex publication_date 2007/10/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We demonstrate how information in the form of observable data and moment constraints are introduced into the method of Maximum relative Entropy (ME). A general example of updating with data and moments is shown. A specific econometric example is solved in detail which can then be used as a template for real world problems. A numerical example is compared to a large deviation solution which illustrates some of the advantages of the ME method.