rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Spatial and spatio-temporal Bayesian models with R-INLA
  name:
    name part: Blangiardo, Marta.
    role:
      role term: creator
  name:
    name part: Cameletti, Michela.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Title Page; Copyright; Table of Contents; Dedication; Preface; Chapter 1: Introduction; 1.1 Why spatial and spatio-temporal statistics?; 1.2 Why do we use Bayesian methods for modeling spatial and spatio-temporal structures?; 1.3 Why INLA?; 1.4 Datasets; References; Chapter 2: Introduction to R; 2.1 The R language; 2.2 R objects; 2.3 Data and session management; 2.4 Packages; 2.5 Programming in R; 2.6 Basic statistical analysis with R; References; Chapter 3: Introduction to Bayesian methods; 3.1 Bayesian philosophy; 3.2 Basic probability elements; 3.3 Bayes theorem
  table of contents: 3.4 Prior and posterior distributions3.5 Working with the posterior distribution; 3.6 Choosing the prior distribution; References; Chapter 4: Bayesian computing; 4.1 Monte Carlo integration; 4.2 Monte Carlo method for Bayesian inference; 4.3 Probability distributions and random number generation in R; 4.4 Examples of Monte Carlo simulation; 4.5 Markov chain Monte Carlo methods; 4.6 The integrated nested Laplace approximations algorithm; 4.7 Laplace approximation; 4.8 The R-INLA package; 4.9 How INLA works: step-by-step example; References
  table of contents: Chapter 5: Bayesian regression and hierarchical models5.1 Linear regression; 5.2 Nonlinear regression: random walk; 5.3 Generalized linear models; 5.4 Hierarchical models; 5.5 Prediction; 5.6 Model checking and selection; References; Chapter 6: Spatial modeling; 6.1 Areal data -- GMRF; 6.2 Ecological regression; 6.3 Zero-inflated models; 6.4 Geostatistical data; 6.5 The stochastic partial differential equation approach; 6.6 SPDE within R-INLA; 6.7 SPDE toy example with simulated data; 6.8 More advanced operations through the inla.stack function; 6.9 Prior specification for the stationary case
  table of contents: 6.10 SPDE for Gaussian response: Swiss rainfall data6.11 SPDE with nonnormal outcome: malaria in the Gambia; 6.12 Prior specification for the nonstationary case; References; Chapter 7: Spatio-temporal models; 7.1 Spatio-temporal disease mapping; 7.2 Spatio-temporal modeling particulate matter concentration; References; Chapter 8: Advanced modeling; 8.1 Bivariate model for spatially misaligned data; 8.2 Semicontinuous model to daily rainfall; 8.3 Spatio-temporal dynamic models; 8.4 Space-time model lowering the time resolution; References; Index; End User License Agreement
  note: by Marta Blangiardo and Michela Cameletti.
  note: Includes bibliographical references and index.
  subject:
    topic: Bayesian statistical decision theory
  subject:
    topic: Spatial analysis (Statistics)
  subject:
    topic: Asymptotic distribution (Probability theory)
  subject:
    topic: R (Computer program language)
  subject:
    topic: MATHEMATICS
    topic: Applied
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: Asymptotic distribution (Probability theory)
  subject:
    topic: Bayesian statistical decision theory
  subject:
    topic: R (Computer program language)
  subject:
    topic: Spatial analysis (Statistics)
  classification: QA279.5
  classification: 519.5/42
  related item:
    title info:
      title: Spatial and spatio-temporal Bayesian models with R-INLA
    name:
      name part: Blangiardo, Marta.
    origin info:
      publisher: Chichester, West Sussex : John Wiley and Sons, Inc., 2015
    identifier: (DLC) 2015000696
  identifier: 9781118950197
  identifier: 1118950194
  identifier: 9781118950210
  identifier: 1118950216
  identifier: 9781118950203
  identifier: 1118950208
  identifier: 1118326555
  identifier: 9781118326558
  identifier: 2015001960
  identifier: https://doi.org/10.1002/9781118950203
  record info:
    record content source: DLC
    record creation date: 150114
    record change date: 20170124070357.6
    record identifier: ocn900278105
    language of cataloging:
      language term: eng