Neural network within a Bayesian inference framework

In Bayesian inference, the likelihood functions are evaluated thousands of times. In this paper we explore the use of an Artificial Neural Network to learn how to calculate the likelihood function and thus speed up the Bayesian inference process. We test the performance of the neural network on a pa...

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Veröffentlicht in:	Journal of physics. Conference series 2021-01, Vol.1723 (1), p.12022
Hauptverfasser:	Gómez-Vargas, Isidro, Esquivel, Ricardo Medel, García-Salcedo, Ricardo, Vázquez, J Alberto
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Astronomical models Bayesian analysis Computing time Cosmology Neural networks Parameter estimation Physics Statistical inference
Online-Zugang:	Volltext
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