Variational inference as an alternative to MCMC for parameter estimation and model selection
Most applications of Bayesian Inference for parameter estimation and model selection in astrophysics involve the use of Monte Carlo techniques such as Markov Chain Monte Carlo (MCMC) and nested sampling. However, these techniques are time-consuming and their convergence to the posterior could be dif...
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Veröffentlicht in: | Publications of the Astronomical Society of Australia 2022-01, Vol.39, Article e001 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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