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Books on the topic 'Bayesian modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Congdon, Peter. Applied Bayesian Modelling. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118895047.

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2

yliopisto, Oulun, ed. On nonparametric Bayesian hierarchical modelling. Oulun Yliopisto, 1996.

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3

Shevchenko, Pavel V. Modelling Operational Risk Using Bayesian Inference. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15923-7.

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4

Stübler, Sabine. Modelling Proteasome Dynamics in a Bayesian Framework. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20167-8.

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5

Omre, Henning, Torstein M. Fjeldstad, and Ole Bernhard Forberg. Bayesian Spatial Modelling with Conjugate Prior Models. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65418-3.

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6

Alston, Clair L., Kerrie L. Mengersen, and Anthony N. Pettitt, eds. Case Studies in Bayesian Statistical Modelling and Analysis. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118394472.

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7

Hans, Bandemer, ed. Modelling uncertain data. Akademie Verlag, 1992.

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8

Martikainen, Janne. Application of decision-analytic modelling in health economic evaluations. University of Kuopio, 2008.

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9

Frontis Workshop on Bayesian Statistics and Quality Modelling in the Agro-food Production Chain (2003 Wageningen, Netherlands). Bayesian statistics and quality modelling in the agro-food production chain: Proceedings of the Frontis Workshop on Bayesian Statistics and Quality Modelling in the Agro-food Production Chain, Wageningen, The Netherlands, 11-14 May 2003. Kluwer Academic, 2004.

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10

Congdon, Peter. Applied Bayesian Modelling. Wiley & Sons, Incorporated, John, 2003.

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11

Congdon, Peter. Bayesian Statistical Modelling. Wiley & Sons, Incorporated, John, 2007.

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12

Congdon, Peter. Applied Bayesian Modelling. Wiley & Sons, Limited, John, 2014.

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13

Congdon, Peter. Applied Bayesian Modelling. Wiley & Sons, Incorporated, John, 2014.

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14

Congdon, Peter. Bayesian Statistical Modelling. Wiley, 2007.

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15

Congdon, Peter. Bayesian Statistical Modelling. Wiley & Sons, Incorporated, John, 2007.

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16

Bayesian Statistical Modelling. Wiley, 2001.

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17

Applied Bayesian Modelling. 2003.

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18

Applied Bayesian Modelling. John Wiley & Sons Inc, 2014.

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19

Applied Bayesian Modelling. Wiley, 2003.

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20

Congdon, Peter. Applied Bayesian Modelling. Wiley & Sons, Incorporated, John, 2007.

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21

Congdon, P., and Peter Congdon. Applied Bayesian Modelling. Wiley & Sons, Incorporated, John, 2003.

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22

Congdon, Peter. Applied Bayesian Modelling. Wiley & Sons, Incorporated, John, 2014.

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23

Congdon, Peter. Bayesian Statistical Modelling. 2nd ed. John Wiley & Sons Inc, 2006.

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24

Congdon, Peter. Applied Bayesian Modelling. Wiley & Sons, Incorporated, John, 2014.

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25

Bayesian statistical modelling. 2nd ed. John Wiley & Sons, 2006.

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26

Flexible Bayesian Regression Modelling. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-02121-3.

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27

Nott, David, Mike Smith, Yanan Fan, and Jean-Luc Dortet-Bernadet. Flexible Bayesian Regression Modelling. Elsevier Science & Technology Books, 2019.

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28

Lucy, David, and James Michael Curran. Applied Bayesian Modelling with Jags. Taylor & Francis Group, 2022.

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29

Ferreira, Marco, Adelmo Bertoldey, and Scott Holan. Bayesian modelling of train door reliability. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.11.

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This article discusses the results of a study in Bayesian reliability analysis concerning train door failures in a European underground system over a period of nine years. It examines failure data from forty underground trains, which were delivered to an European transportation company between November 1989 and March 1991. All of the trains were put in service from 20 March 1990 to 20 July 1992. Failure monitoring ended on 31 December 1998. The goal of the study was to find models able to assess the failure history and to predict the number of failures in future time intervals in order to help

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30

Modelling Operational Risk Using Bayesian Inference. Springer, 2011.

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31

Modelling Operational Risk Using Bayesian Inference. Springer Berlin Heidelberg, 2011.

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32

Shevchenko, Pavel V. Modelling Operational Risk Using Bayesian Inference. Springer, 2011.

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33

Shevchenko, Pavel V. Modelling Operational Risk Using Bayesian Inference. Springer, 2014.

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34

Fernández-Villaverde, Jesús, Pablo Guerrón-Quintana, and Juan Rubio-Ramírez. Futures markets, Bayesian forecasting and risk modelling. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.14.

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This article demonstrates the utility of the Bayesian approach in forecasting and risk modelling regarding speculative trading strategies in financial futures markets. It first provides an overview of subjective expectations that are motivated as fair prices of futures contracts before discussing the futures markets and a portfolio mean-variance efficiency generalization. In particular, it considers the critical role of hedging to ensue attractive risk-adjusted performance. It also describes general Bayesian dynamic models and specific Bayesian dynamic linear models for assessing risk models i

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35

Li, Yongjie, Ka-Veng Yuen, Ka In Hoi, and Kai Meng Mok. Air Quality Monitoring and Advanced Bayesian Modelling. Elsevier, 2023.

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36

Li, Yongjie, Ka-Veng Yuen, Ka In Hoi, and Kai Meng Mok. Air Quality Monitoring and Advanced Bayesian Modelling. Elsevier, 2023.

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37

Stübler, Sabine. Modelling Proteasome Dynamics in a Bayesian Framework. Springer Spektrum, 2017.

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38

Green, Peter, Kanti Mardia, Vysaul Nyirongo, and Yann Ruffieux. Bayesian modelling for matching and alignment of biomolecules. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.2.

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This article describes Bayesian modelling for matching and alignment of biomolecules. One particular task where statistical modelling and inference can be useful in scientific understanding of protein structure is that of matching and alignment of two or more proteins. In this regard, statistical shape analysis potentially has something to offer in solving biomolecule matching and alignment problems. The article discusses the use of Bayesian methods for shape analysis to assist with understanding the three-dimensional structure of protein molecules, with a focus on the problem of matching inst

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39

Zellner, Arnold, Jack C. Lee, and Wesley O. Johnson. Modelling and Prediction Honoring Seymour Geisser. Springer London, Limited, 2013.

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40

Zellner, Arnold, Jack C. Lee, and Wesley O. Johnson. Modelling and Prediction Honoring Seymour Geisser. Springer, 2012.

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41

Sahu, Sujit Kumar. Bayesian Modelling of Spatio-Temporal Data with R. Taylor & Francis Group, 2022.

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42

Case Studies In Bayesian Statistical Modelling And Analysis. John Wiley & Sons, 2012.

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43

Mengersen, Kerrie L., Clair L. Alston, and Anthony N. Pettitt. Case Studies in Bayesian Statistical Modelling and Analysis. Wiley & Sons, Incorporated, John, 2012.

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44

Bayesian Modelling of Spatio-Temporal Data with R. Taylor & Francis Group, 2022.

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45

Mengersen, Kerrie L., Clair L. Alston, and Anthony N. Pettitt. Case Studies in Bayesian Statistical Modelling and Analysis. Wiley & Sons, Incorporated, John, 2012.

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46

Mengersen, Kerrie L., Clair L. Alston, and Anthony N. Pettitt. Case Studies in Bayesian Statistical Modelling and Analysis. Wiley & Sons, Incorporated, John, 2012.

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47

Mengersen, Kerrie L., Clair L. Alston, and Anthony N. Pettitt. Case Studies in Bayesian Statistical Modelling and Analysis. Wiley & Sons, Incorporated, John, 2012.

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48

Mengersen, Kerrie L., Clair L. Alston, and Anthony N. Pettitt. Case Studies in Bayesian Statistical Modelling and Analysis. Wiley & Sons, Incorporated, John, 2012.

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49

Karolyi, G. Andrew. A Bayesian approach to modelling stock return volatility. 1989.

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50

Sahu, Sujit Kumar. Bayesian Modelling of Spatio-Temporal Data with R. Taylor & Francis Group, 2022.

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