Supernova Cosmology for the 21st Century
Supernova Cosmology for the 21st Century
How I Learnt to Stop Worrying About Likelihoods and Train a Neural Network
Trotta, Roberto; Karchev, Konstantin
Springer Nature Switzerland AG
04/2026
243
Dura
Inglês
9783032150714
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Preface.- Bayesian inference.- Neural simulation-based inference.- Neural simulation-based model selection.- Developments in hierarchical SBI.- Supernova cosmology for philosophers.- Supernova cosmology for Nobel laureates. - Supernova cosmology for data scientists.- Supernova cosmology for statisticians.- Clipppy: probabilistic programming.- ??torch: accelerating physics.- SLiCsim: light curves for the ML era.- SIDE-real.- SimSIMS.- SICRET.- RESSET.- CIGaRS.- Epilogue.- Appendices: Simulation-based hierarchical truncated inference.
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SN Ia;Type Ia supernova;cosmology;standard candle;Bayesian inference;Bayesian model comparison;simulation-based inference;SBI;neural network;neural ratio estimation;Bayesian hierarchical modelling;machine learning
Preface.- Bayesian inference.- Neural simulation-based inference.- Neural simulation-based model selection.- Developments in hierarchical SBI.- Supernova cosmology for philosophers.- Supernova cosmology for Nobel laureates. - Supernova cosmology for data scientists.- Supernova cosmology for statisticians.- Clipppy: probabilistic programming.- ??torch: accelerating physics.- SLiCsim: light curves for the ML era.- SIDE-real.- SimSIMS.- SICRET.- RESSET.- CIGaRS.- Epilogue.- Appendices: Simulation-based hierarchical truncated inference.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.