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		<title>Ummels Baier 2013a - Revision history</title>
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		<updated>2026-04-21T10:28:09Z</updated>
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		<id>https://www.scipedia.com/wd/index.php?title=Ummels_Baier_2013a&amp;diff=174746&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 185024693 to Ummels Baier 2013a</title>
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				<updated>2020-10-14T12:54:59Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_185024693&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 185024693&quot;&gt;Draft Content 185024693&lt;/a&gt; to &lt;a href=&quot;/public/Ummels_Baier_2013a&quot; title=&quot;Ummels Baier 2013a&quot;&gt;Ummels Baier 2013a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:54, 14 October 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Ummels_Baier_2013a&amp;diff=174745&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  Probabilistic model checking mainly concentrates on techniques for reasoning about the probabilities of certain path properties or expected values of certain...&quot;</title>
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				<updated>2020-10-14T12:54:56Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  Probabilistic model checking mainly concentrates on techniques for reasoning about the probabilities of certain path properties or expected values of certain...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Probabilistic model checking mainly concentrates on techniques for reasoning about the probabilities of certain path properties or expected values of certain random variables. For the quantitative system analysis, however, there is also another type of interesting performance measure, namely quantiles. A typical quantile query takes as input a lower probability bound p and a reachability property. The task is then to compute the minimal reward bound r such that with probability at least p the target set will be reached before the accumulated reward exceeds r. Quantiles are well-known from mathematical statistics, but to the best of our knowledge they have not been addressed by the model checking community so far. In this paper, we study the complexity of quantile queries for until properties in discrete-time finite-state Markov decision processes with non-negative rewards on states. We show that qualitative quantile queries can be evaluated in polynomial time and present an exponential algorithm for the evaluation of quantitative quantile queries. For the special case of Markov chains, we show that quantitative quantile queries can be evaluated in time polynomial in the size of the chain and the maximum reward.&lt;br /&gt;
&lt;br /&gt;
Document type: Part of book or chapter of book&lt;br /&gt;
&lt;br /&gt;
== Full document ==&lt;br /&gt;
&amp;lt;pdf&amp;gt;Media:Draft_Content_185024693-beopen662-7349-document.pdf&amp;lt;/pdf&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://arxiv.org/abs/1301.1818 http://arxiv.org/abs/1301.1818]&lt;br /&gt;
&lt;br /&gt;
* [https://link.springer.com/content/pdf/10.1007%2F978-3-642-37075-5_23.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-642-37075-5_23.pdf]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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