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Bayesian Inference Techniques in Astronomy & Astrophysics
  Astronomy and astrophysics

Friday 20 February 2015
from 10:30 to 11:30
at FB52
Speaker : Andres Asensio (IAC)
Abstract : Learning from the comparison of models and observations is, in general, an ill-posed problem. The presence of noise, uncertainties and model parameter degeneracies forces us to consider the inference as a probabilistic problem. Bayesian inference gives us a robust theoretical framework to cope with such complications. I will present a description of the fundamentals, going from the basic techniques to the most advanced ones, showing applications in several fields of Astronomy & Astrophysics.

AlbaNova  | Last modified 05 December 2017 10:13  |  HELP