<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sat, 11 Apr 2026 04:22:17 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/bayesian/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Are Humans Really Sophisticated Trading Computers? [TALKIN' BOUT MATH, NO FORMULAS]]]></title><description><![CDATA[Bayesian Filters are everywhere in Quant Trading. The most ubiquitous is the Kalman Filter. Trading without a filter is like bringing a knife (or spoon?) to a gun fight. Humans behave a lot like collections]]></description><link>http://direct.ecency.com/math/@marketstack/are-humans-really-sophisticated-trading-computers-talkin-bout-math-no-formulas</link><guid isPermaLink="true">http://direct.ecency.com/math/@marketstack/are-humans-really-sophisticated-trading-computers-talkin-bout-math-no-formulas</guid><category><![CDATA[math]]></category><dc:creator><![CDATA[marketstack]]></dc:creator><pubDate>Sun, 29 Apr 2018 15:27:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYCaxmj8v8qbGki8USXXZfC62zb4f9m4s9gCxVHk8p7MyiRX8JKHWpP2pLKjZm8rpEstMViU4F8?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[물리이야기] 우리 우주에 여분의 차원은 존재하는가?]]></title><description><![CDATA[TOE (대통일장이론)의 이론적 후보 중의 하나로 한 때 활발하게 연구되었던 초끈이론이 그 수학적 정합성을 확보하기 위해서는, 시공간 차원이 최소 10개는 필요하고, (에드워드 위튼이 발견한 혹은 도입한) duality까지 고려하면, 그 수는 11개까지 확장된다 (일반적 모형). 그러나 일반 상대성이론에 따르면, 우리 우주에서 직접적으로 관측 가능한 시공간]]></description><link>http://direct.ecency.com/extrad/@sjoonkwon0531/4v4g2k</link><guid isPermaLink="true">http://direct.ecency.com/extrad/@sjoonkwon0531/4v4g2k</guid><category><![CDATA[extrad]]></category><dc:creator><![CDATA[sjoonkwon0531]]></dc:creator><pubDate>Fri, 26 Jan 2018 10:31:00 GMT</pubDate></item><item><title><![CDATA[Annotations on statistics and probability 2]]></title><description><![CDATA[I had never found a clearer critique of traditional ("frequentist") statistics. Source: Probability Theory: The Logic of Science by E. T. Jaynes]]></description><link>http://direct.ecency.com/statistics/@sander-lacerda/annotations-on-statistics-and-probability-2</link><guid isPermaLink="true">http://direct.ecency.com/statistics/@sander-lacerda/annotations-on-statistics-and-probability-2</guid><category><![CDATA[statistics]]></category><dc:creator><![CDATA[sander-lacerda]]></dc:creator><pubDate>Thu, 04 Jan 2018 16:09:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/8SzwQc8j2KJb4ARrxQxCjX4jizub4U5CAK3WwB89pSv2FWBfACTbTV8fq4RDbfQJJY3PVrBbQ36pYdFuR2s8yGkBmzXW8yLQ83csCVmkAz9EpVvJFti?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Free Books:  Think Bayes, Think Stats by Allen B. Downey]]></title><description><![CDATA[Hi ! It is a nice introduction to Bayesian Statistics and Statistics made freely available by its author: Allen B. Downey Follows the links down below: He made also available a few other interesting text]]></description><link>http://direct.ecency.com/science/@boucaron/free-books-think-bayes-think-stats-by-allen-b-downey</link><guid isPermaLink="true">http://direct.ecency.com/science/@boucaron/free-books-think-bayes-think-stats-by-allen-b-downey</guid><category><![CDATA[science]]></category><dc:creator><![CDATA[boucaron]]></dc:creator><pubDate>Sun, 19 Nov 2017 15:43:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/2YRZBi4FZVHeTuUm9hjE8Zg7WSLJK1ftTLKCYFUjXekyy76yt3N3aEmiQeUETLfgPwHd2WTzSn9QrutcdaBqTMSSnM7hgkARH6N?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Advanced Machine Learning]]></title><description><![CDATA[In case you are interested or curious even about the core engine of AI, I propose you enrol on this course as I am enjoying the carefully planned and well filmed and scripted lectures organized by Higher]]></description><link>http://direct.ecency.com/bayesian/@rutherford/advanced-machine-learning</link><guid isPermaLink="true">http://direct.ecency.com/bayesian/@rutherford/advanced-machine-learning</guid><category><![CDATA[bayesian]]></category><dc:creator><![CDATA[rutherford]]></dc:creator><pubDate>Sat, 11 Nov 2017 17:34:15 GMT</pubDate></item><item><title><![CDATA[Study "Bayesian regression and Bitcoin" 学习《贝叶斯回归和比特币》论文（3）]]></title><description><![CDATA[带数学公式的就不好翻译了，有没有用文本描述的数学公式的方法呢？度娘了一下，LaTex似乎可以，看样子需要学习一下了。 这段话的意思是： 问题域 ：假设已知n个数据样本（x,y），其中x是d维（d>=1）实数向量，目标是根据这些样本数据，给定一个新的x，来预测y的值。]]></description><link>http://direct.ecency.com/cn/@brysj22952/study-bayesian-regression-and-bitcoin-3</link><guid isPermaLink="true">http://direct.ecency.com/cn/@brysj22952/study-bayesian-regression-and-bitcoin-3</guid><category><![CDATA[cn]]></category><dc:creator><![CDATA[brysj22952]]></dc:creator><pubDate>Fri, 27 Oct 2017 15:04:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZyQYDK4wYJ2esaxtqw4m1vhJBxnoofZ87Dsrun9QX7rbbJFZiUH4keSSAE5idkQzYx25xZB7U2?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Study "Bayesian regression and Bitcoin" 学习《贝叶斯回归和比特币》论文（2）]]></title><description><![CDATA[Study "Bayesian regression and Bitcoin" 学习《贝叶斯回归和比特币》论文（2） ​ In this paper, instead we utilize it for predicting real-valued quantity, the price of Bitcoin. Based on this price prediction method,]]></description><link>http://direct.ecency.com/cn/@brysj22952/study-bayesian-regression-and-bitcoin-2</link><guid isPermaLink="true">http://direct.ecency.com/cn/@brysj22952/study-bayesian-regression-and-bitcoin-2</guid><category><![CDATA[cn]]></category><dc:creator><![CDATA[brysj22952]]></dc:creator><pubDate>Fri, 27 Oct 2017 14:48:39 GMT</pubDate></item><item><title><![CDATA[Study "Bayesian regression and Bitcoin" 学习《贝叶斯回归和比特币》论文（1）]]></title><description><![CDATA[Study "Bayesian regression and Bitcoin" 学习《贝叶斯回归和比特币》论文（1） ​ 前面我说过，我想研究一下量化投资，看到一篇文章，很感兴趣，文中说采用这种方法投资比特币60天内收益翻一倍，我想研究一下它采用的是什么方法。论文名字是《贝叶斯回归和比特币》，地址为： ​ 原文是英文的，所以我边翻译边学习。 Devavrat Shah Kang]]></description><link>http://direct.ecency.com/cn/@brysj22952/study-bayesian-regression-and-bitcoin-1</link><guid isPermaLink="true">http://direct.ecency.com/cn/@brysj22952/study-bayesian-regression-and-bitcoin-1</guid><category><![CDATA[cn]]></category><dc:creator><![CDATA[brysj22952]]></dc:creator><pubDate>Fri, 27 Oct 2017 14:19:21 GMT</pubDate></item><item><title><![CDATA[Decoupling Forward-Error Correction from Ethereum in Model Checking]]></title><description><![CDATA[Recent advances in Bayesian archetypes and virtual modalities offer a viable alternative to 16 bit architectures. After years of technical research into Boolean logic, we can confirm the understanding]]></description><link>http://direct.ecency.com/ethereum/@waler/decoupling-forward-error-correction-from-ethereum-in-model-checking</link><guid isPermaLink="true">http://direct.ecency.com/ethereum/@waler/decoupling-forward-error-correction-from-ethereum-in-model-checking</guid><category><![CDATA[ethereum]]></category><dc:creator><![CDATA[waler]]></dc:creator><pubDate>Wed, 21 Jun 2017 07:25:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZy7fqmoUm18q6Vbbtw1CQ5VjzctdwFHxrawaryWi1oDysw7RF3jNbXPdxKGN3xwbshcc3kzMiv?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How I created a WINNING fantasy football prediction algorithm using Bayesian Modeling - The first stop on my journey [~7 min. read, original content and analysis]]]></title><description><![CDATA[Part 1: How to Determine Consistency I was introduced to daily fantasy sports (DFS) like just about everyone- rapid fire commercials bombarding me on sportsball television. Fantasy sports was not a new]]></description><link>http://direct.ecency.com/blog/@team-leibniz/how-i-created-a-fantasy-football-prediction-algorithm-using-bayesian-modeling-the-first-stop-on-my-journey</link><guid isPermaLink="true">http://direct.ecency.com/blog/@team-leibniz/how-i-created-a-fantasy-football-prediction-algorithm-using-bayesian-modeling-the-first-stop-on-my-journey</guid><category><![CDATA[blog]]></category><dc:creator><![CDATA[team-leibniz]]></dc:creator><pubDate>Fri, 22 Jul 2016 15:42:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/EfcLDDAkyqgqyc52TdHnx88BjGJXpnzxmEnB8yNLCo37xWGfMtH1WETAtBJqaNW7W1KtmjyvjKBvKbRYgpGSjdWZ4Uyka?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>