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astroABC : An Approximate Bayesian Computation Sequential Monte Carlo sampler for cosmological parameter estimation

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Year: 2017
Type: article
Source: Astronomy and Computing
DOI: 10.1016/j.ascom.2017.01.001
Authors: E. Jennings, M. Madigan
Institutions: Fermi National Accelerator Laboratory, University of Chicago, Trinity College Dublin
Language: English

Topic: Markov Chains and Monte Carlo Methods
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy, University of Chicago, Higher Education Funding Council for England, Higher Education Funding Council for Wales, Deutsche Forschungsgemeinschaft, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Financiadora de Estudos e Projetos, Ministry of Education and Science, Ministerio de Ciencia y Tecnología, University of Illinois at Urbana-Champaign, Science and Technology Facilities Council, Kavli Institute for Theoretical Physics, University of California, Santa Barbara, Center for Advanced Study, University of Illinois at Urbana-Champaign
Awards: G1907584174, G3523651922, G5616713406, G585908603, G86560745, G969889393
OpenAlex ID: W2516634646
FWCI: 5.397
Cites: 19
Cited by: 71
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