Spatial and Spatio-temporal Bayesian Models with R - INLA:
Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Somerset
Wiley
2015
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Zusammenfassung: | Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio-temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (323 pages) |
| ISBN: | 9781118950210 9781118326558 |
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| 520 | |a Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio-temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations | ||
| 650 | 4 | |a Asymptotic distribution (Probability theory) | |
| 650 | 4 | |a Bayesian statistical decision theory | |
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Datensatz im Suchindex
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| author | Blangiardo, Marta |
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| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-sort | 3519.5 242 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV043619875 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:30:56Z |
| institution | BVB |
| isbn | 9781118950210 9781118326558 |
| language | English |
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| spelling | Blangiardo, Marta Verfasser aut Spatial and Spatio-temporal Bayesian Models with R - INLA 1st ed Somerset Wiley 2015 © 2014 1 online resource (323 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio-temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations Asymptotic distribution (Probability theory) Bayesian statistical decision theory R (Computer program language) Spatial analysis (Statistics) Cameletti, Michela Sonstige oth Erscheint auch als Druck-Ausgabe Blangiardo, Marta Spatial and Spatio-temporal Bayesian Models with R - INLA |
| spellingShingle | Blangiardo, Marta Spatial and Spatio-temporal Bayesian Models with R - INLA Asymptotic distribution (Probability theory) Bayesian statistical decision theory R (Computer program language) Spatial analysis (Statistics) |
| title | Spatial and Spatio-temporal Bayesian Models with R - INLA |
| title_auth | Spatial and Spatio-temporal Bayesian Models with R - INLA |
| title_exact_search | Spatial and Spatio-temporal Bayesian Models with R - INLA |
| title_full | Spatial and Spatio-temporal Bayesian Models with R - INLA |
| title_fullStr | Spatial and Spatio-temporal Bayesian Models with R - INLA |
| title_full_unstemmed | Spatial and Spatio-temporal Bayesian Models with R - INLA |
| title_short | Spatial and Spatio-temporal Bayesian Models with R - INLA |
| title_sort | spatial and spatio temporal bayesian models with r inla |
| topic | Asymptotic distribution (Probability theory) Bayesian statistical decision theory R (Computer program language) Spatial analysis (Statistics) |
| topic_facet | Asymptotic distribution (Probability theory) Bayesian statistical decision theory R (Computer program language) Spatial analysis (Statistics) |
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