38 citations · 82 across the 6 of their papers we have counts for
6 papers
Entropic dynamics on Gibbs statistical manifolds
Pedro Pessoa, Felipe Xavier Costa, Ariel Caticha
Entropic dynamics is a framework in which the laws of dynamics are derived as an application of entropic methods of inference. Its successes include the derivation of quantum mecha…
Designing Intelligent Instruments
Kevin H. Knuth, Philip M. Erner, Scott Frasso
Remote science operations require automated systems that can both act and react with minimal human intervention. One such vision is that of an intelligent instrument that collects…
Information Geometry and Chaos on Negatively Curved Statistical Manifolds
Carlo Cafaro
A novel information-geometric approach to chaotic dynamics on curved statistical manifolds based on Entropic Dynamics (ED) is suggested. Furthermore, an information-geometric analo…
From Information Geometry to Newtonian Dynamics
Ariel Caticha, Carlo Cafaro
Newtonian dynamics is derived from prior information codified into an appropriate statistical model. The basic assumption is that there is an irreducible uncertainty in the locatio…
Wrong Priors
Carlos C. Rodriguez
All priors are not created equal. There are right and there are wrong priors. That is the main conclusion of this contribution. I use, a cooked-up example designed to create drama,…
The marginalization paradox and the formal Bayes' law
Timothy C. Wallstrom
It has recently been shown that the marginalization paradox (MP) can be resolved by interpreting improper inferences as probability limits. The key to the resolution is that probab…