A Note of Caution on Maximizing Entropy
AbstractThe Principle of Maximum Entropy is often used to update probabilities due to evidence instead of performing Bayesian updating using Bayes’ Theorem, and its use often has efficacious results. However, in some circumstances the results seem unacceptable and unintuitive. This paper discusses some of these cases, and discusses how to identify some of the situations in which this principle should not be used. The paper starts by reviewing three approaches to probability, namely the classical approach, the limiting frequency approach, and the Bayesian approach. It then introduces maximum entropy and shows its relationship to the three approaches. Next, through examples, it shows that maximizing entropy sometimes can stand in direct opposition to Bayesian updating based on reasonable prior beliefs. The paper concludes that if we take the Bayesian approach that probability is about reasonable belief based on all available information, then we can resolve the conflict between the maximum entropy approach and the Bayesian approach that is demonstrated in the examples. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Neapolitan, R.E.; Jiang, X. A Note of Caution on Maximizing Entropy. Entropy 2014, 16, 4004-4014.
Neapolitan RE, Jiang X. A Note of Caution on Maximizing Entropy. Entropy. 2014; 16(7):4004-4014.Chicago/Turabian Style
Neapolitan, Richard E.; Jiang, Xia. 2014. "A Note of Caution on Maximizing Entropy." Entropy 16, no. 7: 4004-4014.