Estimation of cosmological parameters using adaptive importance sampling

HIGHLIGHTS

  • who: Darren Wraith and collaborators from the Universitu00e9 Paris Dauphine, Paris , France have published the research: Estimation of cosmological parameters using adaptive importance sampling, in the Journal: (JOURNAL)
  • what: The authors propose another sampling algorithm suitable for cosmological applications, that is not based upon MCMC, and can be parallelized. In the next section, the authors provide a brief introduction to the Bayesian approach, which the authors hope will give the casual reader some important keys for further readings, and the authors also discuss the challenges and issues involved with using either an MCMC or an . . .

     

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