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Books on the topic 'Bayesian statistical analysi'

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Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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1

Andrew, Gelman, ed. Bayesian data analysis. Boca Raton, FL: Chapman & Hall/CRC, 2000.

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2

Andrew, Gelman, ed. Bayesian data analysis. London: Chapman & Hall, 1995.

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3

Bayesian analysis of linear models. New York: M. Dekker, 1985.

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4

Box, George E. P., and George C. Tiao. Bayesian Inference in Statistical Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1992. http://dx.doi.org/10.1002/9781118033197.

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5

Box, George E. P. Bayesian inference in statistical analysis. New York: Wiley, 1992.

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6

Carlin, Bradley P. Bayesian methods for data analysis. 3rd ed. Boca Raton: CRC Press, 2009.

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7

Carlin, Bradley P. Bayesian methods for data analysis. 3rd ed. Boca Raton: Chapman & Hall/CRC, 2008.

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8

Carlin, Bradley P. Bayesian methods for data analysis. 3rd ed. Boca Raton: CRC Press, 2009.

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9

A, Waller Ray, ed. Bayesian reliability analysis. Malabar, Fla: R.E. Krieger Pub. Co., 1991.

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10

Gomez-Rubio, Virgilio. Bayesian Inference with INLA. Boca Raton, Florida, USA: Taylor & Francis Group, 2020.

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11

Andrew, Gelman, ed. Bayesian data analysis. 2nd ed. Boca Raton, Fla: Chapman & Hall/CRC, 2004.

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12

1943-, Goel Prem K., Iyengar N. Sreenivas, and Indo-U.S. Workshop on Bayesian Analysis in Statistics and Econometrics (1988 : Bangalore, India), eds. Bayesian analysis in statistics and econometrics. New York: Springer-Verlag, 1992.

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13

Mohan, Delampady, and Samanta Tapas, eds. An Introduction to Bayesian Analysis: Theory and Methods. New York, NY: Springer New York, 2006.

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14

Berger, James O. Statistical Decision Theory and Bayesian Analysis. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4757-4286-2.

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15

Statistical decision theory and Bayesian analysis. 2nd ed. New York: Springer-Verlag, 1993.

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16

O, Berger James, ed. Statistical decision theory and Bayesian analysis. 2nd ed. New York: Springer-Verlag, 1985.

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17

Berger, James O. Statistical decision theory and Bayesian analysis. 2nd ed. New York: Springer-Verlag, 1985.

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18

1961-, Chen Ming-Hui, and Sinha Debajyoti, eds. Bayesian survival analysis. New York: Springer, 2001.

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19

Wakefield, Jon. Bayesian and Frequentist Regression Methods. New York, NY: Springer New York, 2013.

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20

Bagchi, Parthasarathy. Bayesian assessment of assumptions of regression analysis. Toronto: University of Toronto, Dept. of Statistics, 1989.

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21

Guttman, Irwin. Bayesian assessment of assumptions of regression analysis. Toronto: University of Toronto, Dept. of Statistics, 1988.

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22

M, Wiper Mike, and Ríos Insua David 1964-, eds. Bayesian analysis of stochastic process models. Hoboken, New Jersey: Wiley, 2012.

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23

Thompson, John. Bayesian analysis with Stata. College Station, Texas: Stata Press, 2014.

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24

Decision analysis: A Bayesian approach. London: Chapman and Hall, 1988.

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25

1950-, French Simon, and Smith Jim Q, eds. The practice of Bayesian analysis. London: Arnold, 1997.

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26

Goel, Prem K., and N. Sreenivas Iyengar, eds. Bayesian Analysis in Statistics and Econometrics. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2944-5.

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27

Bayesian decision analysis: Principles and practice. Cambridge: Cambridge University Press, 2010.

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28

Baks, Klaas. Bayesian performance evaluation. Cambridge, MA: National Bureau of Economic Research, 1999.

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29

Johnson, Wesley O., Gary L. Rosner, and Purushottam W. Laud. Bayesian Thinking in Biostatistics. Boca Raton, Flrida, USA: Taylor & Francis Group, 2021.

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30

Gelman, Andrew. Bayesian Data Analysis. Taylor & Francis Group, 2013.

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31

Gelman, Andrew. Bayesian Data Analysis. Chapman & Hall/CRC, 1995.

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32

Gelman, Andrew. Bayesian Data Analysis. Taylor & Francis Group, 1995.

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33

Gelman, Andrew. Bayesian Data Analysis. Taylor & Francis Group, 2013.

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34

Gelman, Andrew. Bayesian Data Analysis. Taylor & Francis Group, 2013.

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35

Martin, Andrew D. Bayesian Analysis. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0021.

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Abstract:

This article surveys modern Bayesian methods of estimating statistical models. It first provides an introduction to the Bayesian approach for statistical inference, contrasting it with more conventional approaches. It then explains the Monte Carlo principle and reviews commonly used Markov Chain Monte Carlo (MCMC) methods. This is followed by a practical justification for the use of Bayesian methods in the social sciences, and a number of examples from the literature where Bayesian methods have proven useful are shown. The article finally provides a review of modern software for Bayesian inference, and a discussion of the future of Bayesian methods in political science. One area ripe for research is the use of prior information in statistical analyses. Mixture models and those with discrete parameters (such as change point models in the time-series context) are completely underutilized in political science.

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36

Ghosh, Sujit K., and Brian J. Reich. Bayesian Statistical Methods. Taylor & Francis Group, 2021.

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37

Bayesian Statistical Methods. Taylor & Francis Group, 2019.

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38

Ghosh, Sujit K., and Brian J. Reich. Bayesian Statistical Methods. Taylor & Francis Group, 2019.

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39

Bayesian Survival Analysis. Springer, 2010.

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40

Ghosh, Sujit K., and Brian J. Reich. Bayesian Statistical Methods. Taylor & Francis Group, 2019.

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41

Ghosh, Sujit K., and Brian J. Reich. Bayesian Statistical Methods. Taylor & Francis Group, 2019.

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42

Ghosh, Sujit K., and Brian J. Reich. Bayesian Statistical Methods. Taylor & Francis Group, 2019.

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43

Farrow, Malcolm. Bayesian Analysis. John Wiley & Sons Inc, 2007.

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44

P, BOX G. E. Bayesian Inference in Statistical Analysis. WILEY INDIA, 2014.

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45

Puza, Borek. Bayesian Methods for Statistical Analysis. ANU Press, 2015.

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46

Box, George E. P. Bayesian Inference in Statistical Analysis. Wiley & Sons, Incorporated, John, 2011.

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47

Tiao, George C., and George E. P. Box. Bayesian Inference in Statistical Analysis. Wiley & Sons, Incorporated, John, 2011.

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48

Carlin, Bradley P., and Thomas A. Louis. Bayesian Methods for Data Analysis. Taylor & Francis Group, 2008.

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49

Carlin, Bradley P., and Thomas A. Louis. Bayesian Methods for Data Analysis. Taylor & Francis Group, 2008.

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50

Carlin, Bradley P., and Thomas A. Louis. Bayesian Methods for Data Analysis. Taylor & Francis Group, 2008.

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