Top 15 Bayesian Statistics RSS Feeds

1. Probably Overthinking It Blog RSS Feed

RSS Feed allendowney.com/blog/feed   Follow RSS Website allendowney.com/blog
Learn more about data science, bayesian statistics, and other ideas. Allen Downey is a Staff Scientist at DrivenData, a former Professor at Olin College, and an author. He is currently writing a book called Probably Overthinking It, which is all about using evidence and reason to answer questions and guide decision-making.MORE Export RSS feeds list Get access to 250k active RSS feeds of news websites, blogs, magazines and podcasts with email contacts in 1500 niche categories. Get targeted RSS list in your niche at your fingertips. Email us the categories of RSS feeds you're interested in at anuj@feedspot.com Copy email. We'll share the list in an Excel spreadsheet or CSV format.Email us Export RSS List

2. Bayesian Spectacles RSS Feed

RSS Feed bayesianspectacles.org/feed   Follow RSS Website bayesianspectacles.org
Bayesian Spectacles is powered by JASP, a free, friendly, and flexible software package for conducting statistical analyses. We wish to improve current research practices and consequently our goal is to promote Bayesian methods and facilitate their use in concrete applications. Through this blog, we hope to deliver Bayesian stories and ideas that are fun, interesting, and educational.MORE Twitter Followers 1.6K

3. JASP Blog RSS Feed

RSS Feed jasp-stats.org/feed   Follow RSS Website jasp-stats.org/blog
Get updates about JASP including our latest blog posts, JASP articles, example analyses, new features, interviews with team members, and more. JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP offers standard analysis procedures in their classical and Bayesian form.MORE Facebook Followers 4.8KTwitter Followers 11.2K

4. Andrew Heiss Blog RSS Feed

RSS Feed andrewheiss.com/atom.xml   Follow RSS Website andrewheiss.com/blog
Learn more about data science & economics. Andrew Heiss is an assistant professor at Georgia State University, researching international NGOs and teaching data science & economics. He does research in public administration and policy, nonprofit management, international relations, and comparative politics. Andrew is a certified RStudio instructor and mentor and loves teaching how to use R and the tidyverse.MORE Twitter Followers 14.8K

5. Darren Wilkinson's Blog RSS Feed

RSS Feed darrenjw.wordpress.com/feed   Follow RSS Website darrenjw.wordpress.com
This blog by Darren Wilkinson intended to cover his reflections on mathematics, statistics, computing, and biology, and especially their interactions, and relationship with 'big data' and data science. He will write about computational material relating to statistics and systems biology, and anything else that is a bit geeky and in some way related to my research interests. Read to know more.MORE

6. Theoretical Ecology RSS Feed

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Find notes from ecology, biogeography and evolution by Florian Hartig. I am Prof. Dr. Florian Hartig. On this blog you can find out more about my recent activities on my research projects. My research concentrates on theory, simulation models, statistical methods and data science / AI in ecology, evolution and conservation.MORE Twitter Followers 562

7. Count Bayesie Blog RSS Feed

RSS Feed countbayesie.com/blog?format..   Follow RSS Website countbayesie.com/blog
I am Will Kurt, the author of Count Bayesie Blog. I created this blog as a vehicle to help people understand what makes probability theory immensely important in how we understand the world as well as a delight to study in its own right. The posts here will explore issues in Bayesian and Frequentist statistics. The aim will be to minimize rigor and maximize insight.MORE Twitter Followers 7.1K

8. Shravan Vasishth's Slog RSS Feed

RSS Feed vasishth-statistics.blogspot..   Follow RSS Website vasishth-statistics.blogspot..
This blog is a repository of cool things relating to statistical computing, simulation and stochastic modeling.

9. Doing Bayesian Data Analysis RSS Feed

RSS Feed doingbayesiandataanalysis.bl..   Follow RSS Website doingbayesiandataanalysis.bl..
Doing Bayesian Data Analysis by author John K. Kruschke gives an introduction to Bayesian statistics and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It also delivers a tutorial Introduction with R and BUGS, for first year graduate students or advanced undergraduates.MORE

10. All Your Bayes RSS Feed

RSS Feed allyourbayes.com/index.xml   Follow RSS Website allyourbayes.com
Dom Di Francesco is a Data-Centric Engineer and DigitalTwin researcher, and the author at All Your Bayes website. Dom write about his research projects here. His research interests include multi-level Bayesian modeling (for partial pooling of information) and its decision-theoretic applications, such as quantification of the expected value of information. He also works in football analytics.MORE

11. Analytix Thinking Blog » Bayesian Thinking RSS Feed

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Bayesian thinking is about answering the right question, the probability of a hypothesis being true of false. The Analytix Thinking Blog belongs to Dr. Steve Ruberg. He has published widely and lectured internationally on a variety of topics relevant to pharmaceutical research on The Analytix Thinking Blog.MORE

12. Statistical Modeling, Causal Inference, and Social Science » Bayesian Statistics RSS Feed

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The Statistical Modeling, Causal Inference, and Social Science Blog, hosted by Andrew Gelman, is a blog that focuses on the use of statistical methods in social science research. The blog covers a wide range of topics related to statistical modeling, causal inference, and data analysis, including Bayesian statistics, hierarchical modeling, data visualization, and machine learning.MORE Twitter Followers 4.7K

13. Statistical Thinking RSS Feed

RSS Feed   Follow RSS Website fharrell.com/post
This blog is devoted to statistical thinking and its impact on science and everyday life. Emphasis is given to maximizing the use of information, avoiding statistical pitfalls, describing problems caused by the frequentist approach to statistical inference, describing advantages of Bayesian and likelihood methods, and discussing intended and unintended differences between statistics and data science. It will also cover regression modeling strategies, clinical trials, drug evaluation, medical diagnosis, and decision-making.MORE