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Bayesian Categorical Data Analysis

In: Frontiers of Statistical Decision Making and Bayesian Analysis

Author

Listed:
  • Ming-Hui Chen

    (University of Connecticut, Department of Statistics)

  • Dipak K. Dey

    (University of Connecticut, Department of Statistics)

  • Peter Müller

    (The University of Texas, M. D. Anderson Cancer Center, Department of Biostatistics)

  • Dongchu Sun

    (University of Missouri-Columbia, Department of Statistics)

  • Keying Ye

    (University of Texas at San Antonio, Department of Management Science and Statistics, College of Business)

Abstract

Some interesting research challenges for Bayesian inference arise from binary and categorical data, including more traditional inference problems like contingency tables with sparse data and case-control studies as well as more recent research frontiers like non-standard link function for binary data regression.

Suggested Citation

  • Ming-Hui Chen & Dipak K. Dey & Peter Müller & Dongchu Sun & Keying Ye, 2010. "Bayesian Categorical Data Analysis," Springer Books, in: Ming-Hui Chen & Peter Müller & Dongchu Sun & Keying Ye & Dipak K. Dey (ed.), Frontiers of Statistical Decision Making and Bayesian Analysis, chapter 0, pages 419-466, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-6944-6_12
    DOI: 10.1007/978-1-4419-6944-6_12
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