<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/stan-weekly-roundup-30-june-2017/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://andrewgelman.com/2017/06/30/stan-weekly-roundup-30-june-2017/"> R – Statistical Modeling, Causal Inference, and Social Science</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><img alt="TM version of logo" src="https://i1.wp.com/andrewgelman.com/wp-content/uploads/2017/06/desktop-stan-log-tm.jpg?w=150" data-recalc-dims="1">Here’s some things that have been going on with Stan since the <a rel="nofollow" href="http://andrewgelman.com/2017/06/23/stan-weekly-roundup-23-june-2017" target="_blank">last week’s roundup</a></p>
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<li><b><a rel="nofollow" href="http://andrewgelman.com/2017/06/25/stan-registered-trademark/" target="_blank">Stan<sup><small>®</small></sup> and the logo</a></b> and were was granted U.S. Trademark Registrations <a rel="nofollow" href="http://tsdr.uspto.gov/#caseNumber=5222891&amp;%23038;caseSearchType=US_APPLICATION&amp;%23038;caseType=DEFAULT&amp;%23038;searchType=statusSearch" target="_blank">No. 5,222,891</a> and <a rel="nofollow" href="https://tmog.uspto.gov/#/issueDate=2017-06-27&amp;%23038;serialNumber=87237369" target="_blank">U.S. Serial Number: 87,237,369</a>. Hard to feel special when there were millions of products ahead of you. Trademarked names are case insensitive and they required a black-and-white image, shown here.

<li><b>Peter Ellis</b>, a data analyst working for the New Zealand government, posted a nice case study, <a rel="nofollow" href="http://ellisp.github.io/blog/2017/06/24/oz-polls-statespace" target="_blank">State-space modelling of the Australian 2007 federal election</a>. His post is intended to “replicate Simon Jackman’s state space modelling [from his book and pscl package in R] with house effects of the 2007 Australian federal election.”

<li><b>Masaaki Horikoshi</b> provides <a rel="nofollow" href="https://github.com/sinhrks/stan-statespace" target="_blank">Stan programs</a> on GitHub for the models in Jacques J.F. Commandeur and Siem Jan Koopman’s book <a rel="nofollow" href="http://www.ssfpack.com/CKbook.html" target="_blank"><i>Introduction to State Space Time Series Analysis</i></a>.

<li><b>Sebastian Weber</b> put out <a rel="nofollow" href="https://github.com/stan-dev/stan/wiki/Parallelism-using-MPI-in-Stan" target="_blank">a first draft of the MPI specification for a map function for Stan</a>. Mapping was introduced in Lisp with maplist(); Python uses map() and R uses sapply(). The map operation is also the first half of the parallel <a rel="nofollow" href="https://en.wikipedia.org/wiki/MapReduce" target="_blank">map-reduce pattern</a>, which is how we’re implmenting it. The reduction involves fiddling the operands, result, and gradients into the shared autodiff graph.

<li><b>Sophia Rabe-Hesketh, Daniel Furr, and Seung Yeon Lee</b>, of UC Berkeley, put together a page of<br>
<a rel="nofollow" href="https://education-stan.github.io/" target="_blank">Resources for Stan in educational modeling</a>; we only have another partial year left on our IES grant with Sophia.</li>
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<p>The post <a rel="nofollow" href="http://andrewgelman.com/2017/06/30/stan-weekly-roundup-30-june-2017/" target="_blank">Stan Weekly Roundup, 30 June 2017</a> appeared first on <a rel="nofollow" href="http://andrewgelman.com/" target="_blank">Statistical Modeling, Causal Inference, and Social Science</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://andrewgelman.com/2017/06/30/stan-weekly-roundup-30-june-2017/"> R – Statistical Modeling, Causal Inference, and Social Science</a></strong>.</div>
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