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		<channel><title>RIT on Statistics</title><link>http://www-math.umd.edu/research/seminars.html</link><description></description><item>
	<title>Organizational Meeting</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 15 Sep 2015 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, September 15, 2015 - 3:30pm<br />Where: MATH 1313<br />Speaker: Dr. Paul Smith (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Clustering: Algorithms, Applications, and potential research extensions</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 22 Sep 2015 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, September 22, 2015 - 3:30pm<br />Where: MATH 1313<br />Speaker: Cheng Jie (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Clustering</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 29 Sep 2015 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, September 29, 2015 - 3:30pm<br />Where: Math 1313<br />Speaker: Jie Cheng &amp; Alex Estes (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Performance of Classifiers</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 06 Oct 2015 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, October 6, 2015 - 3:30pm<br />Where: MTH 1313<br />Speaker: Lijuan Cao (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Principal Components Analysis</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 13 Oct 2015 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, October 13, 2015 - 3:30pm<br />Where: MTH 1313<br />Speaker: Franck Ndjakou Njeunje (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Spectral Methods</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 20 Oct 2015 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, October 20, 2015 - 3:30pm<br />Where: MTH 1313<br />Speaker: David Bekkerman (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Text Clustering and Classification</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 03 Nov 2015 03:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, November 3, 2015 - 3:30am<br />Where: MTH 1313<br />Speaker: Lijuan Cao (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Clustering and the Bootstrap</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 10 Nov 2015 03:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, November 10, 2015 - 3:30am<br />Where: MTH 1313<br />Speaker: Paul Smith (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Representative Traffic Management Initiatives</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 10 Nov 2015 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, November 10, 2015 - 3:30pm<br />Where: MTH 1313<br />Speaker: Alex Estes (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Organizational meeting</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Mon, 15 Feb 2016 15:00:00 EST</pubDate>
	<description><![CDATA[When: Mon, February 15, 2016 - 3:00pm<br />Where: MTH 0201<br />Speaker: Takumi Saegusa (UMCP) - <br />
Abstract: This semester&#039;s RIT will deal with Empirical Process Theory with applications to Semiparametric Models.  <br />]]></description>
</item>

<item>
	<title>Organizational Meeting</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Mon, 22 Feb 2016 15:00:00 EST</pubDate>
	<description><![CDATA[When: Mon, February 22, 2016 - 3:00pm<br />Where: MTH 0201<br />Speaker: Takumi Saegusa (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>TBD</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Mon, 29 Feb 2016 15:00:00 EST</pubDate>
	<description><![CDATA[When: Mon, February 29, 2016 - 3:00pm<br />Where: MTH0201<br />Speaker: Takumi Saegusa (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Z-theorems</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Mon, 07 Mar 2016 15:00:00 EST</pubDate>
	<description><![CDATA[When: Mon, March 7, 2016 - 3:00pm<br />Where: MTH0201<br />Speaker: Takumi Saegusa (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Cox model with right censoring</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Mon, 21 Mar 2016 15:00:00 EDT</pubDate>
	<description><![CDATA[When: Mon, March 21, 2016 - 3:00pm<br />Where: MTH0201<br />Speaker: Takumi Saegusa (UMCP) - <br />
<br />]]></description>
</item>

<item>
	<title>Martingales versus Empirical Process Theory in Proving the Functional Central Limit Theorem for Repeated Logrank Statistics</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Mon, 28 Mar 2016 15:00:00 EDT</pubDate>
	<description><![CDATA[When: Mon, March 28, 2016 - 3:00pm<br />Where: MTH0201<br />Speaker: Eric Slud (UMCP) - <br />
Abstract: In this talk, I will begin by defining the logrank statistic for testing equality of survival outcomes in a two-group survival experiment and briefly explain its relation to martingales. The Martingale Central Limit Theorem turns out to be a very good way to prove a Central Limit Theorem for this kind of statistic, when the data-sample is large. However, suppose one wishes to prove a Functional Central Limit Theorem covering the large-sample behavior of the logrank statistic calculated repeatedly over time, considered as a stochastic process. Then we will see that empirical process techniques and NOT martingales are the best way to prove a large-sample limit theorem.<br />
<br />
The material of the lecture will intersect material from survival analysis (logrank statistic, which is discussed for example in the Survival Analysis text of Klein and Moeschberger), from a couple of well-known papers one by Tsiatis (1982), one by Sellke (1984) and one by me (1984), and from  empirical-process material that can be found in later papers of Ming Gao Gu.<br />]]></description>
</item>

<item>
	<title>Cox Model (continued)</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Mon, 11 Apr 2016 15:00:00 EDT</pubDate>
	<description><![CDATA[When: Mon, April 11, 2016 - 3:00pm<br />Where: MTH0201<br />Speaker: Takumi Saegusa (UMCP) - <br />
<br />]]></description>
</item>


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