<?xml version="1.0" encoding="UTF-8" ?>
	<rss version="2.0">
		<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, 10 Sep 2013 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, September 10, 2013 - 3:30pm<br />Where: Math 1308<br />Speaker:  Yuan Liao, UMCP<br />]]></description>
</item>

<item>
	<title>Intro to Penalized Least Squares</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 17 Sep 2013 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, September 17, 2013 - 3:30pm<br />Where: MATH B0421<br />Speaker:  Dr. Yuan Liao (Dept. of Math, UMCP) - <br />
Abstract: We will start to discuss linear regression model with many regressors. The penalized least squares will be introduced, with a focus on the l_1 penalty, often known as ``Lasso&quot;. Intuitions and algorithms are to be discussed. If time permits, statistical properties will also be introduced.<br />]]></description>
</item>

<item>
	<title>Penalized Least Squares (Cont&#039;d)</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 01 Oct 2013 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, October 1, 2013 - 3:30pm<br />Where: MATH B0421<br />Speaker: Dr. Yuan Liao (UMCP) -<br />]]></description>
</item>

<item>
	<title>On the number of population moments simultaneously consistently estimable as a function of the (large) sample size</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 15 Oct 2013 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, October 15, 2013 - 3:30pm<br />Where: MTH B0421<br />Speaker: Prof. Abram Kagan (Department of Mathematics, UMCP) -<br />]]></description>
</item>

<item>
	<title>Variable selection using L_1 penalized regression</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 22 Oct 2013 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, October 22, 2013 - 3:30pm<br />Where: MTH 1313<br />Speaker: Xia Li and Yuan Liao, UMCP () - <br />
Abstract: We shall see that LASSO is not variable selection consistent in general when the important and unimportant regressors are correlated. Intuitively, it puts equal weights to all the coefficients. A more &quot;adaptive&quot; penalty should penalize coefficients unequally. We shall discuss weighted L_1 penalized regression and its &quot;oracle properties&quot;.<br />]]></description>
</item>

<item>
	<title>LARS for LASSO</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 29 Oct 2013 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, October 29, 2013 - 3:30pm<br />Where: MTH 1313<br />Speaker: David Shaw (UMCP) -<br />]]></description>
</item>

<item>
	<title>Oracle Properties and Concave Penalties</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 05 Nov 2013 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, November 5, 2013 - 3:30pm<br />Where: MTH B0421<br />Speaker: Prof. Paul Smith (Department of Mathematics, UMCP) -<br />]]></description>
</item>

<item>
	<title>Oracle Properties and Concave Penalties</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 12 Nov 2013 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, November 12, 2013 - 3:30pm<br />Where: MATH B0421<br />Speaker: Paul Smith (UMCP) -<br />]]></description>
</item>

<item>
	<title>One-step Sparse Estimates in Nonconcave Penalized Likelihood Models</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 19 Nov 2013 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, November 19, 2013 - 3:30pm<br />Where: MTH 1313 <br />Speaker: Yue Tian (UMCP) -<br />]]></description>
</item>

<item>
	<title>Regularization and Variable Selection via the Elastic Net</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 26 Nov 2013 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, November 26, 2013 - 3:30pm<br />Where: MTH 1313<br />Speaker: Hechao Sun (Department of Mathematics, UMCP) - <br />
Abstract: This paper is written by Zou and Hastie (2005), with 2327 citations on Google scholar.  They propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation. In addition, the elastic net encourages a grouping effect, where strongly correlated predictors tend to be in or out of the model together.The elastic net is particularly useful when the number of predictors (p) is much bigger than the number of observations (n). By contrast, the lasso is not a very satisfactory variable selection method in the pn case. An algorithm called LARS-EN is proposed for computing elastic net regularization paths efﬁciently, much like algorithm LARS does for the lasso.<br />]]></description>
</item>

<item>
	<title>Plans for the Spring 2014 Semester</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 03 Dec 2013 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, December 3, 2013 - 3:30pm<br />Where: B0421<br />Speaker: Paul Smith, Abram Kagan (UMCP) -<br />]]></description>
</item>

<item>
	<title>TBA</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 04 Feb 2014 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, February 4, 2014 - 3:30pm<br />Where: MTH 1313<br />Speaker:  () -<br />]]></description>
</item>

<item>
	<title>Nonparametric Estimation: An Introduction</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 25 Feb 2014 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, February 25, 2014 - 3:30pm<br />Where: MTH 1313<br />Speaker: Prof. Abram Kagan (Department of Mathematics, UMCP) -<br />]]></description>
</item>

<item>
	<title>Nonparametric estimation: an introduction (Cont&#039;d)</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 04 Mar 2014 15:30:00 EST</pubDate>
	<description><![CDATA[When: Tue, March 4, 2014 - 3:30pm<br />Where: MTH 1313<br />Speaker: Prof. Abram Kagan (Dept. of Statistics, UMCP) -<br />]]></description>
</item>

<item>
	<title>Necessary and sufficient condition for L1-consistency of the kernel estimators of density</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 11 Mar 2014 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, March 11, 2014 - 3:30pm<br />Where: MTH 1313<br />Speaker: Prof. Abram Kagan (UMCP) -<br />]]></description>
</item>

<item>
	<title>Least Squares Cross-Validation in Density Estimation</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 25 Mar 2014 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, March 25, 2014 - 3:30pm<br />Where: MTH 1313<br />Speaker: Hechao Sun (Dept. of Math, UMCP) -<br />]]></description>
</item>

<item>
	<title>The Hoeffding Inequality for Sum of Random Variables</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 01 Apr 2014 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, April 1, 2014 - 3:30pm<br />Where: MTH 1313<br />Speaker: Xia Li (Dept. of Math., Univ. of Maryland) -<br />]]></description>
</item>

<item>
	<title>TBA</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 08 Apr 2014 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, April 8, 2014 - 3:30pm<br />Where: MTH 1313<br />Speaker: David Shaw (Dept. of Math, UMCP) -<br />]]></description>
</item>

<item>
	<title>Generalized Additive Models</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 29 Apr 2014 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, April 29, 2014 - 3:30pm<br />Where: MATH 1313<br />Speaker:  Prof. Paul Smith (Dept. of Math., Univ. of Maryland) -<br />]]></description>
</item>

<item>
	<title>Inference from samples from location-scale parameters distributions</title>
	<link>http://www-math.umd.edu/research/seminars.html</link>
	<pubDate>Tue, 06 May 2014 15:30:00 EDT</pubDate>
	<description><![CDATA[When: Tue, May 6, 2014 - 3:30pm<br />Where: MATH 1313<br />Speaker: Prof. Abram Kagan (Dept. of Math, Univ. of Maryland) -<br />]]></description>
</item>


	</channel>
</rss>