-
I pushed the following text to the new repo:
This book introduces Bayesian data analysis and Bayesian cognitive modeling to
students and researchers in cognitive science (e.g., linguistics,
psych…
-
### Description
Welcome to 'DSWP' Team, good to see you here
in this issue, you will make a tutorial about Bayesian Ridge and implement it using Scikit-learn
To get assigned to this issue, a…
-
This has been for me one of the most eye-opening applications of how Bayesian methods can complement reinforcement learning. I'll be sure to go through the source data you've linked and understand how…
-
Ptython skills:
- python libraries for data science & machine learning (pandas, numpy, scikit-learn)
- data crunching and exploratory data analysis
- supervised learning: classification and regres…
-
Bayesian methods are quite useful for models with random effects, eg where there is repeated measurements on subjects. This type of data seems to come up quite a bit in sports and exercise science. …
-
The paper would become stronger with an empirical example on real data. Given the journal of choice it should be a cognitive example. It needs to be
# Steps
## Make choice on an example.
-…
-
I propose moving the Bayesian mediation analysis and Bayesian moderation analysis notebooks from the Case Studies section to the Causal Inference section of the docs.
Both notebooks would be heavil…
-
var model:
### factors:
#### usa:
* real gdp - (GDP/CPI)
* inflation ln(CPI)
* exchange rate - ln(esch )
* short rate ln(1+R/100)
* long rate ln(1+R/100)
* stock rate (Index/CPI)?
…
-
Here is our proposal for a CTV on Archaeological Science. We have organised the proposal into the sections requested in the instructions (scope, packages, overlap, maintainers):
_Scope_:
Archa…
-
Submitting Author Name: Abigail Keller
Submitting Author Github Handle: @abigailkeller
Repository: https://github.com/abigailkeller/eDNAjoint
Version submitted: 0.1
Submission type: Stats
Badge …