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	<title>Comments on: Tues Feb 28</title>
	<atom:link href="http://www.stat.cmu.edu/~kass/smnp/?feed=rss2&#038;p=94" rel="self" type="application/rss+xml" />
	<link>http://www.stat.cmu.edu/~kass/smnp/?p=94</link>
	<description></description>
	<lastBuildDate>Thu, 26 Apr 2012 14:07:02 +0000</lastBuildDate>
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		<title>By: Rob Rasmussen</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-151</link>
		<dc:creator>Rob Rasmussen</dc:creator>
		<pubDate>Tue, 28 Feb 2012 14:19:39 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-151</guid>
		<description>I really liked the example of the Poisson distribution and using the sample mean versus sample variance to estimate lambda. Is there any correlation between the sample mean and variance (minus their expected values), or are they independent random variables? I guess this would relate to the estimated Fano factor having variance from a sample of the Poisson distribution.</description>
		<content:encoded><![CDATA[<p>I really liked the example of the Poisson distribution and using the sample mean versus sample variance to estimate lambda. Is there any correlation between the sample mean and variance (minus their expected values), or are they independent random variables? I guess this would relate to the estimated Fano factor having variance from a sample of the Poisson distribution.</p>
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		<title>By: Scott Kennedy</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-150</link>
		<dc:creator>Scott Kennedy</dc:creator>
		<pubDate>Tue, 28 Feb 2012 14:10:30 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-150</guid>
		<description>Can we go over in detail the methods described in the SEF example? I&#039;m confused about how the &#039;true&#039; firing rate was calculated, as the spline fit and the PSTH are compared with this.</description>
		<content:encoded><![CDATA[<p>Can we go over in detail the methods described in the SEF example? I&#8217;m confused about how the &#8216;true&#8217; firing rate was calculated, as the spline fit and the PSTH are compared with this.</p>
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		<title>By: Yijuan Du</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-149</link>
		<dc:creator>Yijuan Du</dc:creator>
		<pubDate>Tue, 28 Feb 2012 13:47:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-149</guid>
		<description>Do we usually assume the estimator is unbiased in calculation and then check this assumption, similar as mentioned in last lecture?</description>
		<content:encoded><![CDATA[<p>Do we usually assume the estimator is unbiased in calculation and then check this assumption, similar as mentioned in last lecture?</p>
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		<title>By: Matt Bauman</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-148</link>
		<dc:creator>Matt Bauman</dc:creator>
		<pubDate>Tue, 28 Feb 2012 12:44:32 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-148</guid>
		<description>I&#039;ve heard about &#039;change point analysis before. Is that simply the systematic identification of these change points? And is a change point simply a value at which _any_ statistic changes?</description>
		<content:encoded><![CDATA[<p>I&#8217;ve heard about &#8216;change point analysis before. Is that simply the systematic identification of these change points? And is a change point simply a value at which _any_ statistic changes?</p>
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		<title>By: Ben Dichter</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-147</link>
		<dc:creator>Ben Dichter</dc:creator>
		<pubDate>Tue, 28 Feb 2012 07:39:39 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-147</guid>
		<description>When it comes to bias vs. variance, how do you determine which is the problem and how do you correct the issue either way?</description>
		<content:encoded><![CDATA[<p>When it comes to bias vs. variance, how do you determine which is the problem and how do you correct the issue either way?</p>
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		<title>By: Matt Panico</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-146</link>
		<dc:creator>Matt Panico</dc:creator>
		<pubDate>Tue, 28 Feb 2012 06:41:43 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-146</guid>
		<description>You mention that real spike trains almost always differ from the Poisson assumption. A member of my lab keeps pushing for me to use the Poisson distribution in my analysis. How does this difference from Poisson usually look?</description>
		<content:encoded><![CDATA[<p>You mention that real spike trains almost always differ from the Poisson assumption. A member of my lab keeps pushing for me to use the Poisson distribution in my analysis. How does this difference from Poisson usually look?</p>
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		<title>By: Rex Tien</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-145</link>
		<dc:creator>Rex Tien</dc:creator>
		<pubDate>Tue, 28 Feb 2012 06:23:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-145</guid>
		<description>Is the weighted mean still a maximum likelihood estimator?</description>
		<content:encoded><![CDATA[<p>Is the weighted mean still a maximum likelihood estimator?</p>
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		<title>By: Amanda Markey</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-144</link>
		<dc:creator>Amanda Markey</dc:creator>
		<pubDate>Tue, 28 Feb 2012 06:06:32 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-144</guid>
		<description>I did not follow the theorem on page 221-222.</description>
		<content:encoded><![CDATA[<p>I did not follow the theorem on page 221-222.</p>
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		<title>By: Shubham Debnath</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-143</link>
		<dc:creator>Shubham Debnath</dc:creator>
		<pubDate>Tue, 28 Feb 2012 06:05:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-143</guid>
		<description>Regression splines are mentioned as a smoothing method for comparing pseudo-data. What other methods are there, and what the benefits/downfalls for them?</description>
		<content:encoded><![CDATA[<p>Regression splines are mentioned as a smoothing method for comparing pseudo-data. What other methods are there, and what the benefits/downfalls for them?</p>
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		<title>By: Sharlene Flesher</title>
		<link>http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-142</link>
		<dc:creator>Sharlene Flesher</dc:creator>
		<pubDate>Tue, 28 Feb 2012 04:47:03 +0000</pubDate>
		<guid isPermaLink="false">http://www.stat.cmu.edu/~kass/smnp/?p=94#comment-142</guid>
		<description>Would there ever be a situation where it would be more useful to estimate lambda in a Poisson as the sample variance rather than the sample mean, as was discussed in the example in 8.1.1? 
Also, can you elaborate on the relationship between MSE and risk?</description>
		<content:encoded><![CDATA[<p>Would there ever be a situation where it would be more useful to estimate lambda in a Poisson as the sample variance rather than the sample mean, as was discussed in the example in 8.1.1?<br />
Also, can you elaborate on the relationship between MSE and risk?</p>
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