Bayesian Inference in Political Science, Finance, and Marketing Research

Ming-Hui Chen (), Dipak K. Dey (), Peter Müller (), Dongchu Sun () and Keying Ye ()
Additional contact information
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

Chapter Chapter 11 in Frontiers of Statistical Decision Making and Bayesian Analysis, 2010, pp 377-417 from Springer

Abstract: Abstract Many current research challenges in Bayesian analysis arise in applications. A beauty of the Bayesian approach is that it facilitates principled inference in essentially any well-specified probability model or decision problem. In principle one could consider arbitrarily complicated priors, probability models and decision problems. However, not even the most creatively convoluted mind could dream up the complexities, wrinkles and complications that arise in actual applications. In this chapter we discuss typical examples of such challenges, ranging from prior constructions in political science applications, to model based data transformation for the display of multivariate marketing data, to challenging posterior simulation for state space models in finance and to expected utility maximization for portfolio selection.

Keywords: Posterior Distribution; Markov Chain Monte Carlo; Prior Distribution; Bayesian Inference; Option Price (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4419-6944-6_11

Ordering information: This item can be ordered from
http://www.springer.com/9781441969446

DOI: 10.1007/978-1-4419-6944-6_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().