Previously in this series: The beta distribution Empirical Bayes estimation Credible intervals The Bayesian approach to false discovery rates Bayesian A/B testing Beta-binomial regression Understanding empirical Bayesian hierarchical modeling Mixture...continue reading.
R News from another blog for R community
When someone asks you how your weekend was, you don’t start off by (potentially) boring them with the unnecessary details of how your Aunt Sally’s train was late and you...continue reading.
by Angelika Stefan & Felix Schönbrodt When reading about Bayesian statistics, you regularly come across terms like “objective priors“, “prior odds”, “prior distribution”, and “normal prior”. However, it may not...continue reading.
This blog post (which has many similarities with the previous one) explains the functionality of the textTinyPy package which can be installed from pypi using, pip install textTinyPy The package...continue reading.
You’ve just made an amazing plot in R, and the only thing remaining is finding the right colours to use. Arghhh this part is never fun… You’re probably familiar with...continue reading.
The image processing and the computer vision have gained a significant interest in last 2 decades. The image analysis can be used to detect items or people on images and...continue reading.
Due to the incrising interest in the Internet and due to the its rising number of users, one can notice the surprising growth in the demand for analyzing data and...continue reading.
Previously in this series: The beta distribution Empirical Bayes estimation Credible intervals The Bayesian approach to false discovery rates Bayesian A/B testing Beta-binomial regression Understanding empirical Bayesian hierarchical mo…continue reading.
We are happy to announce the MSCJ-LIFE spring school on Statistical analysis of hyperspectral and high-dimensional remote-sensing data. The spring school will take place in Jena (Germany) at the GIScience...continue reading.
Previously in this series: Understanding the beta distribution Understanding empirical Bayes estimation Understanding credible intervals Understanding the Bayesian approach to false discovery rates Understanding Bayesian A/B testing Under…continue reading.