Bokus

Piotr Zwiernik – författare

Visar alla böcker från författaren Piotr Zwiernik. Handla med fri frakt och snabb leverans.

4 produkter

  1. Piotr Zwiernik - Semialgebraic Statistics and Latent Tree Models, Häftad. Tillgänglighet: Lägg i varukorg

    Semialgebraic Statistics and Latent Tree Models

    Av Piotr Zwiernik

    Häftad, 2019

    1040 kr

    Lägg i varukorg

    Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a systematic, geometric approach to studying the semialgebraic structure of latent tree models.The first part of the book gives a general introduction to key concepts …

  2. Piotr Zwiernik - Semialgebraic Statistics and Latent Tree Models, E-bok. Tillgänglighet: Lägg i varukorg

    Semialgebraic Statistics and Latent Tree Models

    Av Piotr Zwiernik

    E-bok, 2015

    1230 kr

    Lägg i varukorg

    The first part of the book gives a general introduction to key concepts in algebraic statistics, focusing on methods that are helpful in the study of models with hidden variables. The author uses tensor geometry as a natural language to deal with multivariate probability distributions, develops new …

  3. Piotr Zwiernik - Semialgebraic Statistics and Latent Tree Models, Inbunden. Tillgänglighet: Lägg i varukorg

    Semialgebraic Statistics and Latent Tree Models

    Av Piotr Zwiernik

    Inbunden, 2015

    1520 kr

    Lägg i varukorg

    Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a systematic, geometric approach to studying the semialgebraic structure of latent tree models.The first part of the book gives a general introduction to key concepts …

  4. Piotr Zwiernik - Semialgebraic Statistics and Latent Tree Models, E-bok. Tillgänglighet: Lägg i varukorg

    Semialgebraic Statistics and Latent Tree Models

    Av Piotr Zwiernik

    E-bok, 2015

    1230 kr

    Lägg i varukorg

    The first part of the book gives a general introduction to key concepts in algebraic statistics, focusing on methods that are helpful in the study of models with hidden variables. The author uses tensor geometry as a natural language to deal with multivariate probability distributions, develops new …