Using R for Bayesian spatial and spatio-temporal health modeling:
"The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CAR...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2021
|
| Ausgabe: | First edition |
| Schriftenreihe: | The R series
|
| Schlagworte: | |
| Zusammenfassung: | "The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"-- |
| Beschreibung: | xv, 283 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 9780367490126 9780367760670 |
Internformat
MARC
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| 100 | 1 | |a Lawson, Andrew |d 1959- |e Verfasser |0 (DE-588)130212261 |4 aut | |
| 245 | 1 | 0 | |a Using R for Bayesian spatial and spatio-temporal health modeling |c Andrew B. Lawson |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2021 | |
| 300 | |a xv, 283 Seiten |b Illustrationen, Diagramme |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a The R series | |
| 505 | 8 | |a Introduction and data sets -- R graphics and spatial health data -- Bayesian hierarchical models -- Computation -- Bayesian model goodness of fit criteria -- Bayesian disease mapping models -- BRugs/OpenBUGS -- Nimble -- CARBayes -- INLA and R-INLA -- Clustering, latent variable and mixture modeling -- Spatio-temporal modeling with MCMC -- Spatio-temporal modeling with INLA -- Multivariate models -- Survival modeling -- Missingness, measurement error and variable selection -- Individual event modeling -- Infectious disease modeling | |
| 520 | |a "The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"-- | ||
| 650 | 4 | |a Medical statistics / Data processing | |
| 650 | 4 | |a Medical mapping / Data processing | |
| 650 | 4 | |a Medical statistics / Computer programs | |
| 650 | 4 | |a Geospatial data / Computer processing | |
| 650 | 4 | |a Geographic information systems | |
| 650 | 4 | |a Information modeling / Simulation methods | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 4 | |a Bayesian statistical decision theory | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 650 | 7 | |a Geographic information systems |2 fast | |
| 650 | 7 | |a Geospatial data / Computer processing |2 fast | |
| 650 | 7 | |a Medical statistics / Computer programs |2 fast | |
| 650 | 7 | |a Medical statistics / Data processing |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Gesundheitsstatistik |0 (DE-588)4020772-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Geoinformatik |0 (DE-588)7571300-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a BAYES |0 (DE-588)4245375-6 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Geoinformatik |0 (DE-588)7571300-7 |D s |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-033021735 | ||
Datensatz im Suchindex
| _version_ | 1804183088545136640 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Lawson, Andrew 1959- |
| author_GND | (DE-588)130212261 |
| author_facet | Lawson, Andrew 1959- |
| author_role | aut |
| author_sort | Lawson, Andrew 1959- |
| author_variant | a l al |
| building | Verbundindex |
| bvnumber | BV047637473 |
| classification_rvk | XF 3400 ST 250 |
| contents | Introduction and data sets -- R graphics and spatial health data -- Bayesian hierarchical models -- Computation -- Bayesian model goodness of fit criteria -- Bayesian disease mapping models -- BRugs/OpenBUGS -- Nimble -- CARBayes -- INLA and R-INLA -- Clustering, latent variable and mixture modeling -- Spatio-temporal modeling with MCMC -- Spatio-temporal modeling with INLA -- Multivariate models -- Survival modeling -- Missingness, measurement error and variable selection -- Individual event modeling -- Infectious disease modeling |
| ctrlnum | (OCoLC)1289765875 (DE-599)BVBBV047637473 |
| discipline | Informatik Medizin |
| discipline_str_mv | Informatik Medizin |
| edition | First edition |
| format | Book |
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| id | DE-604.BV047637473 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:46:58Z |
| indexdate | 2024-07-10T09:17:53Z |
| institution | BVB |
| isbn | 9780367490126 9780367760670 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033021735 |
| oclc_num | 1289765875 |
| open_access_boolean | |
| owner | DE-1050 DE-20 |
| owner_facet | DE-1050 DE-20 |
| physical | xv, 283 Seiten Illustrationen, Diagramme 24 cm |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | CRC Press |
| record_format | marc |
| series2 | The R series |
| spelling | Lawson, Andrew 1959- Verfasser (DE-588)130212261 aut Using R for Bayesian spatial and spatio-temporal health modeling Andrew B. Lawson First edition Boca Raton ; London ; New York CRC Press 2021 xv, 283 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier The R series Introduction and data sets -- R graphics and spatial health data -- Bayesian hierarchical models -- Computation -- Bayesian model goodness of fit criteria -- Bayesian disease mapping models -- BRugs/OpenBUGS -- Nimble -- CARBayes -- INLA and R-INLA -- Clustering, latent variable and mixture modeling -- Spatio-temporal modeling with MCMC -- Spatio-temporal modeling with INLA -- Multivariate models -- Survival modeling -- Missingness, measurement error and variable selection -- Individual event modeling -- Infectious disease modeling "The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"-- Medical statistics / Data processing Medical mapping / Data processing Medical statistics / Computer programs Geospatial data / Computer processing Geographic information systems Information modeling / Simulation methods R (Computer program language) Bayesian statistical decision theory Bayesian statistical decision theory fast Geographic information systems fast Geospatial data / Computer processing fast Medical statistics / Computer programs fast Medical statistics / Data processing fast R (Computer program language) fast R Programm (DE-588)4705956-4 gnd rswk-swf Gesundheitsstatistik (DE-588)4020772-9 gnd rswk-swf Geoinformatik (DE-588)7571300-7 gnd rswk-swf BAYES (DE-588)4245375-6 gnd rswk-swf Geoinformatik (DE-588)7571300-7 s R Programm (DE-588)4705956-4 s Gesundheitsstatistik (DE-588)4020772-9 s BAYES (DE-588)4245375-6 s DE-604 Erscheint auch als Online-Ausgabe 9781003043997 |
| spellingShingle | Lawson, Andrew 1959- Using R for Bayesian spatial and spatio-temporal health modeling Introduction and data sets -- R graphics and spatial health data -- Bayesian hierarchical models -- Computation -- Bayesian model goodness of fit criteria -- Bayesian disease mapping models -- BRugs/OpenBUGS -- Nimble -- CARBayes -- INLA and R-INLA -- Clustering, latent variable and mixture modeling -- Spatio-temporal modeling with MCMC -- Spatio-temporal modeling with INLA -- Multivariate models -- Survival modeling -- Missingness, measurement error and variable selection -- Individual event modeling -- Infectious disease modeling Medical statistics / Data processing Medical mapping / Data processing Medical statistics / Computer programs Geospatial data / Computer processing Geographic information systems Information modeling / Simulation methods R (Computer program language) Bayesian statistical decision theory Bayesian statistical decision theory fast Geographic information systems fast Geospatial data / Computer processing fast Medical statistics / Computer programs fast Medical statistics / Data processing fast R (Computer program language) fast R Programm (DE-588)4705956-4 gnd Gesundheitsstatistik (DE-588)4020772-9 gnd Geoinformatik (DE-588)7571300-7 gnd BAYES (DE-588)4245375-6 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4020772-9 (DE-588)7571300-7 (DE-588)4245375-6 |
| title | Using R for Bayesian spatial and spatio-temporal health modeling |
| title_auth | Using R for Bayesian spatial and spatio-temporal health modeling |
| title_exact_search | Using R for Bayesian spatial and spatio-temporal health modeling |
| title_exact_search_txtP | Using R for Bayesian spatial and spatio-temporal health modeling |
| title_full | Using R for Bayesian spatial and spatio-temporal health modeling Andrew B. Lawson |
| title_fullStr | Using R for Bayesian spatial and spatio-temporal health modeling Andrew B. Lawson |
| title_full_unstemmed | Using R for Bayesian spatial and spatio-temporal health modeling Andrew B. Lawson |
| title_short | Using R for Bayesian spatial and spatio-temporal health modeling |
| title_sort | using r for bayesian spatial and spatio temporal health modeling |
| topic | Medical statistics / Data processing Medical mapping / Data processing Medical statistics / Computer programs Geospatial data / Computer processing Geographic information systems Information modeling / Simulation methods R (Computer program language) Bayesian statistical decision theory Bayesian statistical decision theory fast Geographic information systems fast Geospatial data / Computer processing fast Medical statistics / Computer programs fast Medical statistics / Data processing fast R (Computer program language) fast R Programm (DE-588)4705956-4 gnd Gesundheitsstatistik (DE-588)4020772-9 gnd Geoinformatik (DE-588)7571300-7 gnd BAYES (DE-588)4245375-6 gnd |
| topic_facet | Medical statistics / Data processing Medical mapping / Data processing Medical statistics / Computer programs Geospatial data / Computer processing Geographic information systems Information modeling / Simulation methods R (Computer program language) Bayesian statistical decision theory R Programm Gesundheitsstatistik Geoinformatik BAYES |
| work_keys_str_mv | AT lawsonandrew usingrforbayesianspatialandspatiotemporalhealthmodeling |