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	<title>The AstroStat Slog &#187; Poisson noisy image</title>
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	<description>Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders</description>
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		<title>[ArXiv] 3rd week, Mar. 2007</title>
		<link>http://groundtruth.info/AstroStat/slog/2008/arxiv-3rd-week-mar-2007/</link>
		<comments>http://groundtruth.info/AstroStat/slog/2008/arxiv-3rd-week-mar-2007/#comments</comments>
		<pubDate>Fri, 21 Mar 2008 22:20:33 +0000</pubDate>
		<dc:creator>hlee</dc:creator>
				<category><![CDATA[Cross-Cultural]]></category>
		<category><![CDATA[Jargon]]></category>
		<category><![CDATA[MCMC]]></category>
		<category><![CDATA[arXiv]]></category>
		<category><![CDATA[chi-sq]]></category>
		<category><![CDATA[Fourier Analysis]]></category>
		<category><![CDATA[GREAT08]]></category>
		<category><![CDATA[lensing]]></category>
		<category><![CDATA[likelihood]]></category>
		<category><![CDATA[misnomer]]></category>
		<category><![CDATA[Poisson noisy image]]></category>
		<category><![CDATA[sparse]]></category>

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		<description><![CDATA[Markov chain Monte Carlo (MCMC) never misses a week from recently astro-ph. A book titled MCMC in astronomy will be a best seller. There are, in addition, very interesting non MCMC preprints. 

[astro-ph:0803.2130] R. Aurich
&#160;&#160;&#160;A spatial correlation analysis for a toroidal universe (MCMC)
[astro-ph:0803.2120]M. Martinez &#038; M. Errando
&#160;&#160;&#160;A new method to study energy-dependent arrival delays on [...]]]></description>
			<content:encoded><![CDATA[<p>Markov chain Monte Carlo (MCMC) never misses a week from recently astro-ph. A book titled <i>MCMC in astronomy</i> will be a best seller. There are, in addition, very interesting non MCMC preprints. <span id="more-254"></span></p>
<ul>
<li><a href="http://arxiv.org/abs/0803.2130">[astro-ph:0803.2130]</a> R. Aurich<br />
&nbsp;&nbsp;&nbsp;<strong>A spatial correlation analysis for a toroidal universe</strong> (MCMC)</p>
<li><a href="http://arxiv.org/abs/0803.2120">[astro-ph:0803.2120]</a>M. Martinez &#038; M. Errando<br />
&nbsp;&nbsp;&nbsp;<strong>A new method to study energy-dependent arrival delays on photons from astrophysical sources</strong> (Likelihood function and goodness-of-fit)</p>
<li><a href="http://arxiv.org/abs/0803.2234">[astro-ph:0803.2234]</a> G. Dobler et.al.<br />
&nbsp;&nbsp;&nbsp;<strong>Lensing Probabilities for Spectroscopically Selected Galaxy-Galaxy Strong Lenses</strong> (could it be helpful to lay out GREAT08 challenges statistically?)</p>
<li><a href="http://arxiv.org/abs/0803.2261]</a> T. Stahn &#038; L. Gizon<br />
&nbsp;&nbsp;&nbsp;<strong>Fourier Analysis of Gapped Time Series: Improved Estimates of Solar and Stellar Oscillation Parameters</strong> </p>
<li><a href="http://arxiv.org/abs/0803.2529">[astro-ph:0803.2529]</a> M. Bazot, S. Bourguignon and J. Christensen-Dalsgaard<br />
&nbsp;&nbsp;&nbsp;<strong>Estimation of stellar parameters using Monte Carlo Markov Chains</strong> (MCMC)</p>
<li><a href="http://arxiv.org/abs/0803.2623">[stat.AP:0803.2623]</a> F. Dup\&#8217;e, J. Fadili, and J. L. Starck<br />
&nbsp;&nbsp;&nbsp;<strong>A proximal iteration for deconvolving Poisson noisy images using sparse representations</strong>
</ul>
<p>I&#8217;m used to see Markov Chain Monte Carlo (or lower case c in Chain) from statistical journals but in astronomical journals, Monte Carlo Markov Chains seem to be standard. </p>
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