<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	
	>
<channel>
	<title>Comments on: A Type Theory for Probability Density Functions</title>
	<atom:link href="http://ashishagarwal.org/2011/10/04/pdf-type-theory/feed/" rel="self" type="application/rss+xml" />
	<link>http://ashishagarwal.org/2011/10/04/pdf-type-theory/</link>
	<description></description>
	<lastBuildDate>Wed, 17 Aug 2016 12:44:04 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>https://wordpress.org/?v=4.1.42</generator>
	<item>
		<title>By: Martin Escardo</title>
		<link>http://ashishagarwal.org/2011/10/04/pdf-type-theory/comment-page-1/#comment-2564</link>
		<dc:creator><![CDATA[Martin Escardo]]></dc:creator>
		<pubDate>Fri, 27 Jan 2012 19:28:01 +0000</pubDate>
		<guid isPermaLink="false">http://ashishagarwal.org/?p=156#comment-2564</guid>
		<description><![CDATA[Very nice. I am attending your talk at POPL right now. I would like to related work I have done in the past (MFPS&#039;2009 in Oxford, published in ENTCS): 
http://www.cs.bham.ac.uk/~mhe/papers/mma-mfps-revised.pdf

That paper also adds a type of distributions (using the probabilistic powerdomain as the denotational semantics), and can compute integration and semi-decide probabilitistic testing. There was a problem left open at the end, which Jean Goubault-Larrecq and Daniele Varacca solved in a LICS&#039;2012 paper:  http://www.lsv.ens-cachan.fr/Publis/PAPERS/PDF/GLV-lics2011.pdf]]></description>
		<content:encoded><![CDATA[<p>Very nice. I am attending your talk at POPL right now. I would like to related work I have done in the past (MFPS&#8217;2009 in Oxford, published in ENTCS):<br />
<a href="http://www.cs.bham.ac.uk/~mhe/papers/mma-mfps-revised.pdf" rel="nofollow">http://www.cs.bham.ac.uk/~mhe/papers/mma-mfps-revised.pdf</a></p>
<p>That paper also adds a type of distributions (using the probabilistic powerdomain as the denotational semantics), and can compute integration and semi-decide probabilitistic testing. There was a problem left open at the end, which Jean Goubault-Larrecq and Daniele Varacca solved in a LICS&#8217;2012 paper:  <a href="http://www.lsv.ens-cachan.fr/Publis/PAPERS/PDF/GLV-lics2011.pdf" rel="nofollow">http://www.lsv.ens-cachan.fr/Publis/PAPERS/PDF/GLV-lics2011.pdf</a></p>
]]></content:encoded>
	</item>
</channel>
</rss>
