Bokus

Adriano Polpo – författare

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6 produkter

  1. Adriano Polpo, Julio Stern, Francisco Louzada, Rafael Izbicki, Hellinton Takada - Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Häftad. Tillgänglighet: Lägg i varukorg

    Bayesian Inference and Maximum Entropy Methods in Science and Engineering

    MaxEnt 37, Jarinu, Brazil, July 09–14, 2017

    Av Adriano Polpo, Julio Stern m. fl.

    Häftad, 2019

    1854 kr

    Lägg i varukorg

    These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They …

  2. Adriano Polpo, Francisco Louzada, Laura L. R. Rifo, Julio M. Stern, Marcelo Lauretto - Interdisciplinary Bayesian Statistics, Inbunden. Tillgänglighet: Lägg i varukorg

    Interdisciplinary Bayesian Statistics

    EBEB 2014

    Av Adriano Polpo, Francisco Louzada m. fl.

    Inbunden, 2015

    1129 kr

    Lägg i varukorg

    Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in …

  3. Marcelo Lauretto, Julio M. Stern, Laura L. R. Rifo, Francisco Louzada, Adriano Polpo - Interdisciplinary Bayesian Statistics, E-bok. Tillgänglighet: Lägg i varukorg

    Interdisciplinary Bayesian Statistics

    EBEB 2014

    Av Marcelo Lauretto, Julio M. Stern m. fl.

    E-bok, 2015

    1459 kr

    Lägg i varukorg

    Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in …

  4. Adriano Polpo, Julio Stern, Francisco Louzada, Rafael Izbicki, Hellinton Takada - Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Inbunden. Tillgänglighet: Lägg i varukorg

    Bayesian Inference and Maximum Entropy Methods in Science and Engineering

    MaxEnt 37, Jarinu, Brazil, July 09–14, 2017

    Av Adriano Polpo, Julio Stern m. fl.

    Inbunden, 2018

    1858 kr

    Lägg i varukorg

    These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They …

  5. Hellinton Takada, Rafael Izbicki, Francisco Louzada, Julio Stern, Adriano Polpo - Bayesian Inference and Maximum Entropy Methods in Science and Engineering, E-bok. Tillgänglighet: Lägg i varukorg

    Bayesian Inference and Maximum Entropy Methods in Science and Engineering

    MaxEnt 37, Jarinu, Brazil, July 09–14, 2017

    Av Hellinton Takada, Rafael Izbicki m. fl.

    E-bok, 2018

    2437 kr

    Lägg i varukorg

    These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They …

  6. Adriano Polpo, Francisco Louzada, Laura L. R. Rifo, Julio M. Stern, Marcelo Lauretto - Interdisciplinary Bayesian Statistics, Häftad. Tillgänglighet: Tillfälligt slut

    Interdisciplinary Bayesian Statistics

    EBEB 2014

    Av Adriano Polpo, Francisco Louzada m. fl.

    Häftad, 2016

    1525 kr

    Tillfälligt slut

    Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in …