R Tutorial - Bayesian regression
http://www.r-tutor.com/taxonomy/term/335/all
enHierarchical Linear Model
http://www.r-tutor.com/gpu-computing/rbayes/rhierlmc
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<a href="/gpu-computing/rbayes/rhierlmc"><img src="fractal-01h.jpeg" alt=" " class="float-left" /></a>
<a
href="/elementary-statistics/multiple-linear-regression" >Linear regression</a> probably is the most familiar technique in data analysis, but its
application is often hamstrung by model assumptions. For instance, if the data has a
hierarchical structure, quite often the assumptions of linear regression are feasible
only at local levels. We will investigate an extension of the linear model to bi-level
hierarchies.
</p>
<p><a href="http://www.r-tutor.com/gpu-computing/rbayes/rhierlmc" target="_blank">read more</a></p>http://www.r-tutor.com/gpu-computing/rbayes/rhierlmc#commentsGPU Computing with RBayesian regressionBayesian statisticshierarchical linear modellinear regressionMarkov Chain Monte CarloMCMCcbindexplengthlevelslistlogmeanrhierLinearModelstrbayesmcodacudaBayesregrpudcheeseMon, 22 Jul 2013 19:39:44 +0000rtutor.chiyau160 at http://www.r-tutor.com