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Bayesian modeling of spatio-temporal...

Sahu, Sujit K.,

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Bayesian modeling of spatio-temporal data with R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Bayesian modeling of spatio-temporal data with R // Sujit K. Sahu.
Author:	Sahu, Sujit K.,
Published:	Boca Raton :CRC Press, : 2022.,
Description:	xxii, 411 p. :ill. (some col.), maps (some col.) ;25 cm.
[NT 15003449]:	1. Examples of spatio-temporal data -- 2. Jargon of spatial and spatio-temporal modeling -- 3. Exploratory data analysis methods -- 4. Bayesian inference methods -- 5. Bayesian computation methods -- 6. Bayesian modeling for point referenced spatial data -- 7. Bayesian modeling for point referenced spatio-temporal data -- 8. Practical examples of point referenced data modeling -- 9. Bayesian forecasting for point referenced data -- 10. Bayesian modeling for areal unit data -- 11. Further examples of areal data modeling -- 12. Gaussian processes for data science and other applications -- Appendix A. Statistical densities used in the book -- Appendix B. Answers to selected exercises
Subject:	Spatial analysis (Statistics) - Mathematical models. -
ISBN:	9780367277987

Bayesian modeling of spatio-temporal data with R /
Sahu, Sujit K.,

Bayesian modeling of spatio-temporal data with R /Sujit K. Sahu. - 1st ed. - Boca Raton :CRC Press,2022. - xxii, 411 p. :ill. (some col.), maps (some col.) ;25 cm. - Chapman & Hall/CRC interdisciplinary statistics series. - Interdisciplinary statistics..

Includes bibliographical references (p. 395-406) and index.

1. Examples of spatio-temporal data -- 2. Jargon of spatial and spatio-temporal modeling -- 3. Exploratory data analysis methods -- 4. Bayesian inference methods -- 5. Bayesian computation methods -- 6. Bayesian modeling for point referenced spatial data -- 7. Bayesian modeling for point referenced spatio-temporal data -- 8. Practical examples of point referenced data modeling -- 9. Bayesian forecasting for point referenced data -- 10. Bayesian modeling for areal unit data -- 11. Further examples of areal data modeling -- 12. Gaussian processes for data science and other applications -- Appendix A. Statistical densities used in the book -- Appendix B. Answers to selected exercises

ISBN: 9780367277987GBP89.99

Nat. Bib. No.: GBC1L1301bnb

Nat. Bib. Agency Control No.: 020430509UkSubjects--Topical Terms:

627225
Spatial analysis (Statistics)
--Mathematical models.

LC Class. No.: QA279.5 / .S34 2022

Dewey Class. No.: 519.5/42

Bayesian modeling of spatio-temporal data with R /
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003 OCoLC
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008 230908s2022 fluab b 001 0 eng d
015 $a GBC1L1301 $2 bnb
016 7 $a 020430509 $2 Uk
020 $a 9780367277987 $q (hbk.) : $c GBP89.99
020 $a 0367277980 $q (hbk.)
020 $a 9781032209579 $q (pbk.)
020 $a 1032209577 $q (pbk.)
020 $z 9780429318443 $q (ebook)
020 $z 9781000543612 $q (ebook)
020 $z 9781000543698 $q (epub)
035 $a (OCoLC)1295111234
040 $a UKMGB $b eng $c UKMGB $d OCLCO $d OCLCF $d YDX $d FIE $d UIU $d GPRCL $d OCLCO
050 # 4 $a QA279.5 $b .S34 2022
082 0 4 $a 519.5/42 $2 23
100 1 $a Sahu, Sujit K., $e author. $3 3641008
245 1 0 $a Bayesian modeling of spatio-temporal data with R / $c Sujit K. Sahu.
250 $a 1st ed.
260 # $a Boca Raton : $b CRC Press, $c 2022.
300 $a xxii, 411 p. : $b ill. (some col.), maps (some col.) ; $c 25 cm.
490 1 $a Chapman & Hall/CRC interdisciplinary statistics series
504 $a Includes bibliographical references (p. 395-406) and index.
505 0 0 $a 1. Examples of spatio-temporal data -- 2. Jargon of spatial and spatio-temporal modeling -- 3. Exploratory data analysis methods -- 4. Bayesian inference methods -- 5. Bayesian computation methods -- 6. Bayesian modeling for point referenced spatial data -- 7. Bayesian modeling for point referenced spatio-temporal data -- 8. Practical examples of point referenced data modeling -- 9. Bayesian forecasting for point referenced data -- 10. Bayesian modeling for areal unit data -- 11. Further examples of areal data modeling -- 12. Gaussian processes for data science and other applications -- Appendix A. Statistical densities used in the book -- Appendix B. Answers to selected exercises
650 # 0 $a Spatial analysis (Statistics) $x Mathematical models. $3 627225
650 # 0 $a Bayesian statistical decision theory $x Data processing. $3 731262
650 # 0 $a R (Computer program language) $3 784593
776 0 8 $i Electronic version: $a Sahu, Sujit K. $t Bayesian Modelling of Spatio-Temporal Data with R. $b First edition. $d Boca Raton : Chapman and Hall/CRC, 2022 $z 9780429318443 $w (OCoLC)1273727413
830 0 $a Interdisciplinary statistics. $3 626308