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Title: cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation

Authors:
; ORCiD logo; ORCiD logo; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Fuel Cell Technologies Office (EE-3F)
OSTI Identifier:
1251663
Grant/Contract Number:  
SFRH/BD/51647/2011
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Astronomy and Computing
Additional Journal Information:
Journal Name: Astronomy and Computing Journal Volume: 13 Journal Issue: C; Journal ID: ISSN 2213-1337
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Ishida, E. E. O., Vitenti, S. D. P., Penna-Lima, M., Cisewski, J., de Souza, R. S., Trindade, A. M. M., Cameron, E., and Busti, V. C. cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation. Netherlands: N. p., 2015. Web. doi:10.1016/j.ascom.2015.09.001.
Ishida, E. E. O., Vitenti, S. D. P., Penna-Lima, M., Cisewski, J., de Souza, R. S., Trindade, A. M. M., Cameron, E., & Busti, V. C. cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation. Netherlands. doi:10.1016/j.ascom.2015.09.001.
Ishida, E. E. O., Vitenti, S. D. P., Penna-Lima, M., Cisewski, J., de Souza, R. S., Trindade, A. M. M., Cameron, E., and Busti, V. C. Sun . "cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation". Netherlands. doi:10.1016/j.ascom.2015.09.001.
@article{osti_1251663,
title = {cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation},
author = {Ishida, E. E. O. and Vitenti, S. D. P. and Penna-Lima, M. and Cisewski, J. and de Souza, R. S. and Trindade, A. M. M. and Cameron, E. and Busti, V. C.},
abstractNote = {},
doi = {10.1016/j.ascom.2015.09.001},
journal = {Astronomy and Computing},
number = C,
volume = 13,
place = {Netherlands},
year = {2015},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.ascom.2015.09.001

Citation Metrics:
Cited by: 12 works
Citation information provided by
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