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		<title>Convergence of random variables - Revision history</title>
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		<updated>2026-10-23T16:36:17Z</updated>
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	<entry>
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		<title>Karl Jones: Created page with &quot;In probability theory, there exist several different notions of '''convergence of random variables'''.  == Description ==  The Limit of a sequence|convergence of sequenc...&quot;</title>
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				<updated>2016-09-19T02:13:25Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot;In &lt;a href=&quot;/index.php/Probability_theory&quot; title=&quot;Probability theory&quot;&gt;probability theory&lt;/a&gt;, there exist several different notions of &amp;#039;&amp;#039;&amp;#039;convergence of random variables&amp;#039;&amp;#039;&amp;#039;.  == Description ==  The Limit of a sequence|convergence of sequenc...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;In [[probability theory]], there exist several different notions of '''convergence of random variables'''.&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
The [[Limit of a sequence|convergence of sequences]] of [[Random variable|random variables]] to some limit [[random variable]] is an important concept in [[probability theory]], and its applications to [[statistics]] and [[Stochastic process|stochastic processes]].&lt;br /&gt;
&lt;br /&gt;
The same concepts are known in more general mathematics as stochastic convergence and they formalize the idea that a sequence of essentially random or unpredictable events can sometimes be expected to settle down into a behavior that is essentially unchanging when items far enough into the sequence are studied.&lt;br /&gt;
&lt;br /&gt;
The different possible notions of convergence relate to how such a behavior can be characterized: two readily understood behaviors are that the sequence eventually takes a constant value, and that values in the sequence continue to change but can be described by an unchanging probability distribution.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Asymptotic distribution]]&lt;br /&gt;
* [[Big O in probability notation]]&lt;br /&gt;
* [[Continuous stochastic process]] - the question of continuity of a stochastic process is essentially a question of convergence, and many of the same concepts and relationships used above apply to the continuity question.&lt;br /&gt;
* [[Convergence of measures]]&lt;br /&gt;
* [[Limit of a sequence]]&lt;br /&gt;
* [[Proofs of convergence of random variables]]&lt;br /&gt;
* [[Skorokhod's representation theorem]]&lt;br /&gt;
* [[Tweedie distribution]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
&lt;br /&gt;
* [https://en.wikipedia.org/wiki/Convergence_of_random_variables Convergence of random variables] @ Wikipedia&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Mathematics]]&lt;br /&gt;
[[Category:Probability]]&lt;/div&gt;</summary>
		<author><name>Karl Jones</name></author>	</entry>

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