Think! Evidence

Teaching Bayesian Statistics To Intelligence Analysts: Lessons Learned

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dc.creator Hemangni Deshmukh
dc.creator Jennifer Lee
dc.creator Kristan J. Wheaton
dc.date 2009-01-01T00:00:00Z
dc.identifier 1944-0464
dc.identifier 1944-0472
dc.identifier https://doaj.org/article/0423ba37a46a4f24bae990a887d8524f
dc.description The Community must develop and integrate into regular use new tools that can assist analysts in filtering and correlating the vast quantities of information that threaten to overwhelm the analytic process…—Commission on the Intelligence Capabilities of the United States.Regarding Weapons of Mass Destruction (The WMD Report)1Unlike the other social sciences and, particularly, the physical sciences, where scientists get to choose the questions they wish to answer and experiments are carefully designed to confirm or negate hypotheses, intelligence analysis requires analysts to deal with the demands of decision makers and estimate the intentions of foreign actors, criminals or business competitors in an environment filled with uncertainty and even deliberate deception.
dc.language English
dc.publisher Henley-Putnam University
dc.relation http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1035&context=jss
dc.relation https://doaj.org/toc/1944-0464
dc.relation https://doaj.org/toc/1944-0472
dc.source Journal of Strategic Security, Vol 2, Iss 1, Pp 39-58 (2009)
dc.subject Intelligence analysis
dc.subject Intelligence studies/education
dc.subject Methodology
dc.subject Security studies
dc.subject Military Science
dc.subject U
dc.subject DOAJ:Military Science
dc.subject DOAJ:Technology and Engineering
dc.title Teaching Bayesian Statistics To Intelligence Analysts: Lessons Learned
dc.type article


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