Name Notebooks Description
19aaadb56f3ada8531d7 bayesnet.ipynb
670e777406a2f2bfb67e Norovirus prediction.ipynb
2a3cbb033dda1c54b5df Simple Measles Model (Matrix beta).ipynb
102830057075818bec2b Untitled.ipynb
08a28c8d80c45da63371 Homework 2 solution.ipynb
e1fa2133129c0e7311ce GBS rate differences.ipynb
f102691069ea9069c3c9 Simple Measles Model (PyMC 2).ipynb
57c9901728b791cce46f Simple Measles Model-theirs.ipynb
bd774ae634630901fa72 Simple Measles Model.ipynb
8de30ee6b886f500100f Homework 1 solutions.ipynb
b55d46c890f7e5f93472 Dataset Statistics.ipynb
7bb6a08c4fae71a21a2c Black non-responders.ipynb
45b9a09260969d853949 Technology Paper.ipynb
7de47184523a9d884253 Technology Paper.ipynb
97af27b8ad6445df7abd PyMC3 bug.ipynb
fa3f556df2b4c786d6f1 RSV Randomization.ipynb
c0343485a4913c455350 Non-spatial Measles Model.ipynb
e2f53107f25d61cefc88 New Spatial Measles Model.ipynb
7b99108ba23703bbe48b Cox Model (PyMC 3).ipynb
042a9ce5aee254f8b25e 08_Survival-Analysis.ipynb
23ceebc598dce85fafca ELSO Logistic Regression (PyMC 2).ipynb
ac400c96e1d4c9014662 ELSO Logistic Regression.ipynb