Bayesian Inference Using Gibbs Sampling in Applications and Curricula of Decision Analysis

References

• Abbas A (2013) GE: 550 AA—Decision Analysis II, University of Illinois. Accessed December 2013, http://www.bayesiannetworks.com/index.php?option=com_content&view=article&id=64&Itemid=82.Google Scholar
• Bordley R (2004) IOE 460 F 2004: Decision Analysis, University of Michigan. Accessed January 2013, http://sitemaker.umich.edu/dec.btr/files/bordley_decisionanalysis_industrialandoperationsengineering_undergrad.pdf.Google Scholar
• BUGS Project (2012a) Bayesian inference using Gibbs sampling. Accessed June 2013, http://www.mrc-bsu.cam.ac.uk/bugs/welcome.shtml.Google Scholar
• BUGS Project (2012b) BUGS on the Web. Accessed August 2013, http://www.mrc-bsu.cam.ac.uk/bugs/weblinks/webresource.shtml#courses.Google Scholar
• BUGS Project (2012c) BUGS user papers and publications. Accessed June 2013, http://www.mrc-bsu.cam.ac.uk/bugs/references/bugs-uses-papers.shtml.Google Scholar
• Clark CW, Charles A, Beddington JR, Mangel M (1985) Optimal capacity decisions in a developing fishery. Marine Resource Econom. 2:25–53.Crossref, Google Scholar
• Craft A (2012) WWS594O: Risk Analysis, Princeton University. Accessed January 2013, http://wws.princeton.edu/grad/course_offerings/spring-2012/syllabi/WWS-594o.pdf.Google Scholar
• Gilks WR, Clayton DG, Spiegelhalter DJ, Best NG, McNeil AJ (1994) Modelling complexity: Applications of Gibbs sampling in medicine. J. Roy. Statist. Soc. 55:39–52.Google Scholar
• Greenland S (2001) Putting background information about relative risks into conjugate prior distributions. Biometrics 57:663–670.Crossref, Google Scholar
• Gupta D (2007) IE 5545 Decision Analysis, University of Minnesota. Accessed January 2013, http://www.me.umn.edu/courses/pdf/IE%;205545.pdf.Google Scholar
• Hesselager O (1993) A class of conjugate priors with applications to excess-of-loss reinsurance. Astin Bull. 23:77–93.Crossref, Google Scholar
• Hoi-Lun A (2008) AMA484: Decision Analysis, Hong Kong Polytechnic University. Accessed January 2013, http://www.polyu.edu.hk/~ama/subject/63021/ama484_08.pdf.Google Scholar
• Howard R (2011) MS&E 353 Frontiers of Decision Analysis, Stanford University. Accessed January 2013, http://main.da.stanford.edu/classes-1/ms-e-353-frontiers-of-decision-analysis.Google Scholar
• Huang YS (2008) A cost sharing warranty policy for products with deterioration. IEEE Trans. Engrg. Management 55:617–627.Crossref, Google Scholar
• Kruschke JK (2010) Doing Bayesian Data Analysis: A Tutorial with R and BUGS (Academic Press, Burlington, MA).Google Scholar
• Lee P (2012) Bayesian Statistics: An Introduction (John Wiley & Sons Ltd., Chichester, UK).Google Scholar
• Leng P (2012) IE5203 Decision Analysis, National University of Singapore. Accessed January 2013, http://www.ise.nus.edu.sg/course/ie5203/.Google Scholar
• Liu AL (2010) IE 546 Economic Decisions in Engineering, Purdue University. Accessed December 2013, http://web.ics.purdue.edu/~liu334/IE546_Syllabus_Spr10.pdf.Google Scholar
• Lunn DJ, Spiegelhalter D, Thomas A, Best N (2009) The BUGS project: Evolution, critique, and future directions. Statist. Medicine 28:3049–3067.Crossref, Google Scholar
• Lunn DJ, Thomas A, Best N, Spiegelhalter D (2000) WinBUGS—A Bayesian modelling framework: Concepts, structure, and extensibility. Statist. Comput. 10:325–337.Crossref, Google Scholar
• Martínez-Miranda MD, Nielsen JP, Wüthrich MV (2012) Statistical modelling and forecasting in nonlife insurance. Statist. Oper. Res. Trans. 36:195–218.Google Scholar
• Miller AC III, Rice T (1983) Discrete approximations of probability distributions. Management Sci. 29:352–362.Link, Google Scholar
• Moral S, Rumi R, Salmeron A (2001) Mixtures of truncated exponentials in hybrid Bayesian networks. Symbolic Quant. Approaches Reasoning Uncertainty 2143:156–167.Crossref, Google Scholar
• Oren S (2012) IEOR 166: Decision Analysis, University of California, Berkeley. Accessed December 2013, http://www.scribd.com/doc/98773466/166-intro2012.Google Scholar
• Park C (2005) INSY 5630 Real Options and Decision Analysis, Auburn University. Accessed January 2013, https://fp.auburn.edu/provost/ucc/INSY5630Syllabus.pdf.Google Scholar
• Plummer M (2003) JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. Proc. 3rd Internat. Workshop on Distributed Statist. Comput., Vienna, Austria.Google Scholar
• Poland WB, Shachter RD (1993) Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties. Heckerman D, Mamdani E, eds. Proc. Ninth Internat. Conf. Uncertainty in Artificial Intelligence (Morgan Kaufmann, San Francisco), 183–190.Crossref, Google Scholar
• Shenoy PP, West JC (2011) Inference in hybrid Bayesian networks using mixtures of polynomials. Internat. J. Approximate Reasoning 52:641–657.Crossref, Google Scholar
• Thomas A, O'Hara B, Ligges U, Sturtz S (2006) Making BUGS open. R News 6:12–17.Google Scholar