Describe any assumptions of bayesian analysis


Assignment

Length: 4 to 6 pages.

Bayesian analysis requires the inclusion of prior information. It is also computationally intense. There are many examples that can be provided from any fields. After completing the required readings for the week and conducting any additional research that you may need, write a 4 to 6 pages paper that addresses the following:

o Discuss the reasons for using Bayesian analysis when faced with uncertainty in making decisions.

o Describe any assumptions of Bayesian analysis.

o Describe the situations that would call for Bayesian analysis.

o Describe any problems with Bayesian analysis.

o Describe the contexts for Bayesian analysis.

o How is decision making under uncertainty related to Bayesian analysis?

Be substantive and clear, and use scholarly examples to reinforce your ideas.

Format your assignment according to the following formatting requirements:

o The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.

o The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.

o Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.

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