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	<title>Language, Logic &#38; Cognition Lab</title>
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	<description>Language, Logic &#38; Cognition (LaLoCo) Lab, UC Santa Cruz, Linguistics Department</description>
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		<title>Language, Logic &#38; Cognition Lab</title>
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		<title>Generalized linear (mixed) models etc.</title>
		<link>http://lalocolab.wordpress.com/2012/02/11/glms-glmms-etc/</link>
		<comments>http://lalocolab.wordpress.com/2012/02/11/glms-glmms-etc/#comments</comments>
		<pubDate>Sun, 12 Feb 2012 03:47:35 +0000</pubDate>
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		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=290</guid>
		<description><![CDATA[The last 2 scripts introduce generalized linear (mixed) models and some extensions: First script: bayes_winbugs_jags_5.r; contents: generalized linear models Poisson &#8220;t-test&#8221; (simulated data, R analysis, WinBUGS / JAGS analysis) binomial &#8220;t-test&#8221; (simulated data, R analysis, WinBUGS / JAGS analysis) binomial ANCOVA (simulated data, R analysis, WinBUGS / JAGS analysis) binomial GLMM (simulated data, R analysis, [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=290&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Linear and linear mixed-effects models in R and WinBUGS / JAGS</title>
		<link>http://lalocolab.wordpress.com/2012/02/02/lms-and-lmms/</link>
		<comments>http://lalocolab.wordpress.com/2012/02/02/lms-and-lmms/#comments</comments>
		<pubDate>Fri, 03 Feb 2012 04:33:28 +0000</pubDate>
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		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=282</guid>
		<description><![CDATA[Plan for the Feb. 7, Feb. 9 and probably Feb. 14 classes (again, feel free to bring your laptops to class and work through the scripts on your own as we go through them in class): First script: bayes_winbugs_jags_3.r; contents: simple linear regression (simulated data, R analysis, WinBUGS / JAGS analysis) goodness-of-fit assessment in Bayesian [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=282&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Intro to WinBUGS / JAGS</title>
		<link>http://lalocolab.wordpress.com/2012/01/27/intro-to-winbugs-jags/</link>
		<comments>http://lalocolab.wordpress.com/2012/01/27/intro-to-winbugs-jags/#comments</comments>
		<pubDate>Fri, 27 Jan 2012 17:58:31 +0000</pubDate>
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		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=269</guid>
		<description><![CDATA[Plan for the Jan. 31 &#38; Feb. 2 classes; feel free to bring your laptops to class and work through the scripts on your own as we go through them in class: First script: bayes_winbugs_jags_1.r; contents: the mean model: simulated data, R analysis, WinBUGS / JAGS analysis the structure of WinBUGS / JAGS models, reexpressing [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=269&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Intro to Bayesian inference and MCMC (part 2)</title>
		<link>http://lalocolab.wordpress.com/2012/01/23/intro-bayes-part-2/</link>
		<comments>http://lalocolab.wordpress.com/2012/01/23/intro-bayes-part-2/#comments</comments>
		<pubDate>Mon, 23 Jan 2012 18:57:20 +0000</pubDate>
		<dc:creator>abrsvn</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=256</guid>
		<description><![CDATA[Plan for the Jan. 24 &#38; 26 classes: wrap up examples of inference for binomial proportions with conjugate Beta priors and with grid-discretized priors intro to Bayes for cognitive science; slides: intro_bayes_2.pdf introduction to Markov Chain Monte Carlo (MCMC) and the Metropolis family of algorithms bayes_MCMC_intro.r; on a couple of occasions, you will need the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=256&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Cox (1946) and Jaynes (2003)</title>
		<link>http://lalocolab.wordpress.com/2012/01/20/henderson_slides_cox_jaynes/</link>
		<comments>http://lalocolab.wordpress.com/2012/01/20/henderson_slides_cox_jaynes/#comments</comments>
		<pubDate>Fri, 20 Jan 2012 21:33:23 +0000</pubDate>
		<dc:creator>abrsvn</dc:creator>
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		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=246</guid>
		<description><![CDATA[The slides for Robert Henderson&#8217;s excellent presentation of Cox (1946) (&#8220;Probability, Frequency and Reasonable Expectation&#8221;) and Jaynes (2003) (&#8220;Probability Theory: The Logic of Science&#8221;), chapters 1 and 2 are available here.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=246&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>Intro to Bayesian inference (part 1)</title>
		<link>http://lalocolab.wordpress.com/2012/01/15/intro-bayes-part-1/</link>
		<comments>http://lalocolab.wordpress.com/2012/01/15/intro-bayes-part-1/#comments</comments>
		<pubDate>Sun, 15 Jan 2012 23:23:19 +0000</pubDate>
		<dc:creator>abrsvn</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=230</guid>
		<description><![CDATA[Plan for the Jan. 17 class: intro to Bayesian inference (part 1); slides: intro_bayes_1.pdf examples of inference for binomial proportions with conjugate (Beta) priors &#8212; based on Kruschke (2011), chapter 5: examples_Bern_Beta.r; to run the examples, you will need the following 2 files: BernBeta.R and HDIofICDF.R examples of inference for binomial proportions with grid-discretized priors [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=230&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<title>Intro to probability &#8212; slides</title>
		<link>http://lalocolab.wordpress.com/2012/01/13/intro-to-probability-slides/</link>
		<comments>http://lalocolab.wordpress.com/2012/01/13/intro-to-probability-slides/#comments</comments>
		<pubDate>Fri, 13 Jan 2012 22:33:20 +0000</pubDate>
		<dc:creator>abrsvn</dc:creator>
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		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=221</guid>
		<description><![CDATA[The slides we discussed on Jan. 12 in the semantics seminar are available here. You can also take a look at Kruschke (2011), chapters 3 and 4.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=221&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<title>&#8220;Doing Bayesian Data Analysis&#8221; &#8211; Now in JAGS</title>
		<link>http://lalocolab.wordpress.com/2012/01/01/doing-bda-jags/</link>
		<comments>http://lalocolab.wordpress.com/2012/01/01/doing-bda-jags/#comments</comments>
		<pubDate>Sun, 01 Jan 2012 17:36:37 +0000</pubDate>
		<dc:creator>abrsvn</dc:creator>
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		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=214</guid>
		<description><![CDATA[John Kruschke has created JAGS versions of all the programs in &#8220;Doing Bayesian Data Analysis&#8221;. Unlike BUGS, JAGS runs on MacOS, Linux, and Windows. JAGS has other features that make it more robust and user-friendly than BUGS. I recommend that you use the JAGS versions of the programs. For more info, go here.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=214&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<title>From CLG to LaLoCo (Dec. 28, 2011)</title>
		<link>http://lalocolab.wordpress.com/2011/12/28/from-clg-to-laloco/</link>
		<comments>http://lalocolab.wordpress.com/2011/12/28/from-clg-to-laloco/#comments</comments>
		<pubDate>Wed, 28 Dec 2011 20:04:56 +0000</pubDate>
		<dc:creator>abrsvn</dc:creator>
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		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=158</guid>
		<description><![CDATA[The Corpus Linguistics Group (CLG) has evolved into the Language, Logic &#38; Cognition (LaLoCo) lab. A description of LaLoCo&#8217;s overarching research goal is available here. The CLG materials (summaries, scripts etc.) have already been posted on the LaLoCo page: [Winter 2010] Tutorial on quantitative corpus linguistics and R [Spring 2010] Regression etc. [Fall 2010] Quantifier [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=158&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<title>Seminar: Statistical &amp; Cognitive Modeling for Formal Semantics</title>
		<link>http://lalocolab.wordpress.com/2011/12/28/seminar-statistical-cognitive-modeling-for-formal-semantics/</link>
		<comments>http://lalocolab.wordpress.com/2011/12/28/seminar-statistical-cognitive-modeling-for-formal-semantics/#comments</comments>
		<pubDate>Wed, 28 Dec 2011 19:16:39 +0000</pubDate>
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				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://lalocolab.wordpress.com/?p=152</guid>
		<description><![CDATA[Winter 2012 Seminar in Semantics (Linguistics, UCSC): Statistical &#38; Cognitive Modeling for Formal Semantics See the syllabus and AB&#8217;s teaching page for more information.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=lalocolab.wordpress.com&amp;blog=30878610&amp;post=152&amp;subd=lalocolab&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>1</slash:comments>
	
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