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dc.contributor.author
Kumar, Ravin  
dc.contributor.author
Carroll, Colin  
dc.contributor.author
Hartikainen, Ari  
dc.contributor.author
Martín, Osvaldo Antonio  
dc.date.available
2020-09-23T14:30:29Z  
dc.date.issued
2019-01-15  
dc.identifier.citation
Kumar, Ravin; Carroll, Colin; Hartikainen, Ari; Martín, Osvaldo Antonio; ArviZ a unified library for exploratory analysis of Bayesian models in Python; Journal of Open Source Software; Journal of Open Source Software; 4; 33; 15-1-2019; 1143-1147  
dc.identifier.issn
2475-9066  
dc.identifier.uri
http://hdl.handle.net/11336/114615  
dc.description.abstract
ArviZ is a Python package for exploratory analysis of Bayesian models. ArviZ aims to be a package that integrates seamlessly with established probabilistic programming languages like PyStan, PyMC, Edward, emcee, Pyro and easily integrated with novel or bespoke Bayesian analyses. Where the aim of the probabilistic programming languages is to make it easy to build and solve Bayesian models, the aim of the ArviZ library is to make it easy to process and analyze the results from the Bayesian models.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Journal of Open Source Software  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
BAYESIAN STATISTICS  
dc.subject
VISUALIZATION  
dc.subject
PYTHON  
dc.subject.classification
Estadística y Probabilidad  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.subject.classification
Ciencias de la Información y Bioinformática  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
ArviZ a unified library for exploratory analysis of Bayesian models in Python  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-09-01T19:11:39Z  
dc.journal.volume
4  
dc.journal.number
33  
dc.journal.pagination
1143-1147  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Kumar, Ravin. No especifíca;  
dc.description.fil
Fil: Carroll, Colin. No especifíca;  
dc.description.fil
Fil: Hartikainen, Ari. Aalto University; Finlandia  
dc.description.fil
Fil: Martín, Osvaldo Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina  
dc.journal.title
Journal of Open Source Software  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://joss.theoj.org/papers/10.21105/joss.01143  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.21105/joss.01143  

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