<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Probability |</title><link>https://gomezramirez.eu/tag/probability/</link><atom:link href="https://gomezramirez.eu/tag/probability/index.xml" rel="self" type="application/rss+xml"/><description>Probability</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Mon, 13 Jul 2020 17:37:04 -0400</lastBuildDate><image><url>https://gomezramirez.eu/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png</url><title>Probability</title><link>https://gomezramirez.eu/tag/probability/</link></image><item><title>Epistemology</title><link>https://gomezramirez.eu/project/hoaxy/</link><pubDate>Mon, 13 Jul 2020 17:37:04 -0400</pubDate><guid>https://gomezramirez.eu/project/hoaxy/</guid><description>&lt;h2 id="description">Description&lt;/h2>
&lt;p>Epistemology from the Greek episteme” and “logos” or &lt;em>What it was to know&lt;/em>, and &lt;em>How knowledge is good for the knower&lt;/em>. The porject addresses these topics trying to bring new insights into appartently distant topics. We expect that Epistemolgy as a discipline, in tandem with algorithms and the exponentiation of data and computer power will help us to vertebrate a new way of understanding the workd and to build explanatory and predictive models.&lt;/p>
&lt;ul>
&lt;li>Probability Theory&lt;/li>
&lt;li>Machine Learning (Inside the black box)&lt;/li>
&lt;li>Nowcasting and Forecasting&lt;/li>
&lt;li>Big History&lt;/li>
&lt;li>Causality&lt;/li>
&lt;/ul>
&lt;h2 id="software">Software&lt;/h2>
&lt;ul>
&lt;li>
&lt;a href="https://github.com/microsoft/dowhy" target="_blank" rel="noopener">Do Why &lt;sup>&lt;i class="fas fa-external-link-alt">&lt;/i>&lt;/sup>&lt;/a>&lt;/li>
&lt;li>
&lt;a href="https://causalinference.gitlab.io/kdd-tutorial/" target="_blank" rel="noopener">Tutorial on Causal Inference and Counterfactual Reasoning &lt;sup>&lt;i class="fas fa-external-link-alt">&lt;/i>&lt;/sup>&lt;/a>&lt;/li>
&lt;li>
&lt;a href="https://ananke.readthedocs.io/en/latest/index.html" target="_blank" rel="noopener">Ananke:A module for causal inference &lt;sup>&lt;i class="fas fa-external-link-alt">&lt;/i>&lt;/sup>&lt;/a>&lt;/li>
&lt;/ul>
&lt;h2 id="collaborators">Collaborators&lt;/h2>
&lt;ul>
&lt;li>
&lt;a href="https://www.car.upm-csic.es/authors/cap-ricardo-sanz-bravo" target="_blank" rel="noopener">Ricardo Sanz&lt;/a> (The Center for Automation and Robotics, Spain),&lt;/li>
&lt;li>
&lt;a href="https://janovas.unizar.es/sideral/CV/manuel-gonzalez-bedia" target="_blank" rel="noopener">Manuel G. Bedia&lt;/a> (Universidad de Zaragoza, Spain),&lt;/li>
&lt;li>
&lt;a href="https://www.sciencemag.org/author/christopher-d-fiorillo" target="_blank" rel="noopener">Christopher D. Fiorillo&lt;/a> (Korea Advanced Institute of Science and Technology, Korea),&lt;/li>
&lt;/ul>
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## Presentations
[comment]: &lt;> Presentation of “Hoaxy/Botometer” at the Knight Foundation Prototype Fund Demo Day, held at ISOJ 2017 in Austin, TX:
&lt;div class="11819">
&lt;iframe src="https://www.youtube.com/embed/qZFNjPjTjfE" allowfullscreen title="YouTube Video">&lt;/iframe>
&lt;/div>
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