christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
PythonMIT
Issues
- 1
Using bayesloop with python3.11 does not work
#44 opened by rgerum - 3
'dict_keys' object has no attribute 'index' error when following 'Anomalous diffusion' example in docs
#32 opened by dmbrady01 - 1
- 2
- 1
Performance
#36 opened by jmrichardson - 1
The package is awesome!
#34 opened by timeseries-ru - 1
Get number positivity
#33 opened by lorenzolopez928 - 1
Missing tests for Parser using OnlineStudy
#29 opened by christophmark - 1
Documentation for probability parser
#27 opened by christophmark - 1
- 1
- 1
- 1
Tests for probability parser
#26 opened by christophmark - 1
Loading data as list fails
#25 opened by christophmark - 1
Arbitrary deterministic transition models
#23 opened by christophmark - 1
Add custom time stamps to data
#22 opened by christophmark - 1
Apply seaborn styling only "locally"
#24 opened by christophmark - 5
Prior distributions
#20 opened by christophmark - 2
- 1
Update readme and gh-pages
#19 opened by christophmark - 1
- 3
Implement raster-study
#15 opened by christophmark - 1
- 2
Serial transition model
#16 opened by christophmark - 3
Selectively optimize parameters
#14 opened by christophmark - 3
- 1
Incomplete documentation
#12 opened by christophmark - 1
- 1
Add ultra-short usage example to readme.
#10 opened by christophmark - 1
- 1
Add missing doc-strings
#4 opened by christophmark - 1
Introduce checks for analysis work-flow
#8 opened by christophmark - 1
Add linear regression model
#7 opened by christophmark - 1
Add support for multi-dimensional data
#5 opened by christophmark - 1
Check if marginal likelihood computation is suited to compare models with different structure.
#6 opened by christophmark - 1
Add online study class
#1 opened by christophmark - 1
- 1
Optimization of Hyperparameters
#2 opened by christophmark