<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Causal-Inference on Aneesh Sathe</title><link>https://aneeshsathe.com/tags/causal-inference/</link><description>Recent content in Causal-Inference on Aneesh Sathe</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 22 Jul 2025 06:32:55 +0000</lastBuildDate><atom:link href="https://aneeshsathe.com/tags/causal-inference/index.xml" rel="self" type="application/rss+xml"/><item><title>My Road to Bayesian Stats</title><link>https://aneeshsathe.com/my-road-to-bayesian-stats/</link><pubDate>Tue, 22 Jul 2025 06:32:55 +0000</pubDate><guid>https://aneeshsathe.com/my-road-to-bayesian-stats/</guid><description>&lt;p&gt;By 2015, I had heard of Bayesian Stats but didn’t bother to go deeper into it. After all, significance stars, and p-values worked fine. I started to explore Bayesian Statistics when considering small sample sizes in biological experiments. How much can you say when you are comparing means of 6 or even 60 observations? This is the nature work at the edge of knowledge. Not knowing what to expect is normal. Multiple possible routes to a seen a result is normal. Not knowing how to pick the route to the observed result is also normal. Yet, our statistics fails to capture this reality and the associated uncertainties. There must be a way I thought.&lt;/p&gt;</description></item><item><title>Beyond the Dataset</title><link>https://aneeshsathe.com/beyond-the-dataset/</link><pubDate>Fri, 11 Jul 2025 05:41:24 +0000</pubDate><guid>https://aneeshsathe.com/beyond-the-dataset/</guid><description>&lt;p&gt;On the recent season of the show Clarkson’s farm, J.C. goes through great lengths to buy the right pub. As with any sensible buyer, the team does a thorough tear down followed by a big build up before the place is open for business. They survey how the place is built, located, and accessed. In their refresh they ensure that each part of the pub is built with purpose. Even the tractor on the ceiling. The art is  in answering the question: &lt;em&gt;How was this place put together?&lt;/em&gt;&lt;/p&gt;</description></item></channel></rss>