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Elias Krainski – författare

Visar alla böcker från författaren Elias Krainski. Handla med fri frakt och snabb leverans.

7 produkter

  1. Elias Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren, Håvard Rue - Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA, Häftad. Tillgänglighet: Lägg i varukorg

    Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

    Av Elias Krainski, Virgilio Gómez-Rubio m. fl.

    Häftad, 2020

    806 kr

    Lägg i varukorg

    Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …

  2. Havard Rue, Finn Lindgren, Daniel Simpson, Daniela Castro-Camilo, Amanda Lenzi, Haakon Bakka, Virgilio Gomez-Rubio, Elias Krainski - Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA, E-bok. Tillgänglighet: Lägg i varukorg

    Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

    Av Havard Rue, Finn Lindgren m. fl.

    E-bok, 2018

    953 kr

    Lägg i varukorg

    Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …

  3. Havard Rue, Finn Lindgren, Daniel Simpson, Daniela Castro-Camilo, Amanda Lenzi, Haakon Bakka, Virgilio Gomez-Rubio, Elias Krainski - Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA, E-bok. Tillgänglighet: Lägg i varukorg

    Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

    Av Havard Rue, Finn Lindgren m. fl.

    E-bok, 2018

    953 kr

    Lägg i varukorg

    Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …

  4. Havard Rue, Elias Krainski, Janet van Niekerk, Denis Rustand - Bayesian Survival, Longitudinal, and Joint Models with INLA, E-bok. Tillgänglighet: Lägg i varukorg

    Bayesian Survival, Longitudinal, and Joint Models with INLA

    Av Havard Rue, Elias Krainski m. fl.

    E-bok, 2026

    1712 kr

    Lägg i varukorg

    This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative to traditional MCMC methods. Aimed at graduate …

  5. Havard Rue, Elias Krainski, Janet van Niekerk, Denis Rustand - Bayesian Survival, Longitudinal, and Joint Models with INLA, E-bok. Tillgänglighet: Lägg i varukorg

    Bayesian Survival, Longitudinal, and Joint Models with INLA

    Av Havard Rue, Elias Krainski m. fl.

    E-bok, 2026

    1662 kr

    Lägg i varukorg

    This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative to traditional MCMC methods. Aimed at graduate …

  6. Denis Rustand, Janet van Niekerk, Havard Rue, Elias Krainski - Bayesian Survival, Longitudinal, and Joint Models with INLA, Inbunden. Tillgänglighet: Lägg i varukorg

    Bayesian Survival, Longitudinal, and Joint Models with INLA

    Av Denis Rustand, Janet van Niekerk m. fl.

    Inbunden, 2026

    1569 kr

    Lägg i varukorg

    This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative to traditional MCMC methods. Aimed at graduate …

  7. Elias Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren, Håvard Rue - Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA, Inbunden. Tillgänglighet: Lägg i varukorg

    Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

    Av Elias Krainski, Virgilio Gómez-Rubio m. fl.

    Inbunden, 2018

    2136 kr

    Lägg i varukorg

    Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …