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@Article{MarinhoOlMaVaCoAl:2017:BaInAp,
               author = "Marinho, Rubens M. and Oliveira, Heitor O. de and Magalh{\~a}es, 
                         Nadja S. and Valentim, Rodolfo and Coelho, Jaziel Goulart and 
                         Alves, M{\'a}rcio E. S.",
          affiliation = "{Instituto Tecnol{\'o}gico de Aeron{\'a}utica (ITA)} and 
                         {Instituto Tecnol{\'o}gico de Aeron{\'a}utica (ITA)} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual 
                         Paulista (UNESP)}",
                title = "Bayesian inference applied to pulsarís models",
              journal = "International Journal of Modern Physics: Conference Series",
                 year = "2017",
               volume = "45",
                 note = "{7th International Workshop on Astronomy and} and {Relativistic 
                         Astrophysics (IWARA 2016)}",
             keywords = "Pulsar, Equation of State, Bayesian Statistics.",
             abstract = "The goal of this work is to apply Bayesian statistics to the 
                         problem of pulsars in order to compute the Bayes factor and 
                         investigate which one among different EoS could better fit known 
                         pulsar data, regarding the rate of decrease of the angular 
                         velocity versus the angular velocity itself. We also find the 
                         posterior distribution and the best fit for some relevant 
                         parameters of the pulsar like the mass and the magnetic field.",
                  doi = "10.1142/S2010194517600382",
                  url = "http://dx.doi.org/10.1142/S2010194517600382",
                 issn = "2010-1945",
             language = "en",
           targetfile = "oliveira_bayesian.pdf",
        urlaccessdate = "28 nov. 2020"
}


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