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Bayesian modeling of spatio-temporal...

Sahu, Sujit K.,

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Bayesian modeling of spatio-temporal data with R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bayesian modeling of spatio-temporal data with R // Sujit K. Sahu.
作者:	Sahu, Sujit K.,
出版者:	Boca Raton :CRC Press, : 2022.,
面頁冊數:	xxii, 411 p. :ill. (some col.), maps (some col.) ;25 cm.
內容註:	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
標題:	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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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