🌀 https://www.the-tls.co.uk/articles/public/thomas-bayes-science-crisis/amp/?__twitter_impression=true
TLS
Thomas Bayes and the crisis in science
Footnotes to Plato is a TLS Online series appraising the works and legacies of the great thinkers and philosophers
We are living in new Bayesian age. Applications of Bayesian probability are taking over our lives. Doctors, lawyers, engineers and financiers…
We are living in new Bayesian age. Applications of Bayesian probability are taking over our lives. Doctors, lawyers, engineers and financiers…
A new thermodynamic theory of glasses explains the high efficiency of the swap Monte Carlo algorithm. https://t.co/IG84nzxGbI https://t.co/8UX1TAXZGJ
⚽ "Using network science to analyze football passing networks: dynamics, space, time and the multilayer nature of the game. arXiv:1807.00534v1
[physics.soc-ph]
[physics.soc-ph]
Insight on the physics of living systems
https://www.nature.com/collections/jwxbtzdjkh
https://www.nature.com/collections/jwxbtzdjkh
🗺 Very interesting viz paper :
Visualizing spreading phenomena on complex networks
“network layout algorithm for graphs with millions of nodes that visualizes spreading phenomena from the perspective of a single node. “
Visualizing spreading phenomena on complex networks
“network layout algorithm for graphs with millions of nodes that visualizes spreading phenomena from the perspective of a single node. “
🌐 Bayesian Networks
In this post, we’ll give a short introduction to Bayesian networks, explain why quantum mechanics means that one may want to generalise them, and present the main results of the paper. That’s a lot to cover, and there won’t be a huge amount of category theory, but we hope to give the reader some intuition about the issues involved, and another example of monoidal categories used in causal theory.
https://golem.ph.utexas.edu/category/2018/07/bayesian_networks.html
In this post, we’ll give a short introduction to Bayesian networks, explain why quantum mechanics means that one may want to generalise them, and present the main results of the paper. That’s a lot to cover, and there won’t be a huge amount of category theory, but we hope to give the reader some intuition about the issues involved, and another example of monoidal categories used in causal theory.
https://golem.ph.utexas.edu/category/2018/07/bayesian_networks.html
🌀 We have a tutorial on Bayesian modeling using brms in the Journal of Phonetics. Here is the paper and code: https://t.co/bRsw64jmH8
Open Science Framework
Bayesian data analysis in the phonetic sciences: A tutorial introduction
This tutorial analyzes voice onset time (VOT) data from Dongbei (Northeastern) Mandarin Chinese and North American English to demonstrate how Bayesian linear mixed models can be fit using the programming language Stan via the R package brms. Through this…