Reparametrization invariant statistical inference and gravity
arXiv:hep-th/9703135 · doi:10.1103/PhysRevLett.78.4671
Abstract
Bialek, Callan and Strong have recently given a solution of the problem of determining a continuous probability distribution from a finite set of experimental measurements by formulating it as a one-dimensional quantum field theory. This letter gives a reparametrization-invariant solution of the problem, obtained by coupling to gravity. The case of a large number of dimensions may involve quantum gravity restricted to metrics of vanishing Weyl curvature.
4 pages, RevTex
Cited by in corpus (7)
- Self-consistent method for density estimation
- Occam factors and model-independent Bayesian learning of continuous distributions
- Rapid and deterministic estimation of probability densities using scale-free field theories
- Unification of field theory and maximum entropy methods for learning probability densities
- Information theory and learning: a physical approach
- Functional statistical inference of parton distributions
- Predictability, complexity and learning