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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Note on the Specific Source Identification Problem in Forensic Science in the Presence of Uncertainty about the Background Population · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1503.08234/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1503.08234/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Note on the Specific Source Identification Problem in Forensic Science in the Presence of Uncertainty about the Background Population — mentioned by woodson</title><link>https://news.ycombinator.com/item?id=9450735</link><guid isPermaLink="false">urn:hackerpapers:mention:1503.08234:9450735</guid><pubDate>Tue, 28 Apr 2015 06:15:49 GMT</pubDate><description>&lt;p&gt;At least in academic circles, statisticians working in forensic inference and statistics widely support probabilistic approaches, to give the strength of the evidence in terms of likelihood ratios (or Bayes factors) with respect to prosecution and defense hypothesis. For example, what is the probability of observing the features of a given trace had it come from the suspect versus had it come from another individual in the relevant population. The concept of &amp;quot;matching&amp;quot; is also slightly more complicated in reality. Basically you have to account for uncertainty in measurements and other…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1503.08234/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.AP</category></item></channel></rss>
