Learn, predict and infer on Probability Density Functions

Date:

A short description:

  • Introduce a new manifold structure for the space of PDFs.
  • Apply constrained GP to learn and infer on PDF.
  • Extend to CDFs.
  • Use spherical HMC sampling to solve the posterior probability on coefficients.
  • A framework that can be generalized to other manifolds.
  • Some applications in medical