/explore
|
You are here 
|
doingbayesiandataanalysis.blogspot.com | ||
| | | | |
easystats.github.io
|
|
| | | | | [AI summary] The article explains credible intervals in Bayesian statistics, comparing them to frequentist confidence intervals, discussing their computation methods (HDI, ETI, SI), and their implications for interpreting statistical results. | |
| | | | |
dustintran.com
|
|
| | | | | One aspect I always enjoy about machine learning is that questions often go back to the basics. The field essentially goes into an existential crisis every dozen years-rethinking our tools and asking foundational questions such as "why neural networks" or "why generative models".1 This was a theme in my conversations during NIPS 2016 last week, where a frequent topic was on the advantages of a Bayesian perspective to machine learning. Not surprisingly, this appeared as a big discussion point during the p... | |
| | | | |
rpsychologist.com
|
|
| | | | | ||
| | | | |
swingleydev.com
|
|
| | | |||
