Summary
- preparing code for submission NIPS (details)
- workign on random rotations (details)
- working on LogisticRegression model (details)
- working on parkinson (details)
- done likelikhood (details)
- distribution generation done (details)
- working on results for logit problem (details)
- working on differente settings for parkinson (details)
- working on posterior predictive (details)
- mod to logit likelihood (details)
- working on stan example (details)
- working on stan example (details)
- working on parkinson dataset (details)
- working on parkinson data set (details)
- fixed log-likelihood for logistic regression models with log(1+\eps) approximation (details)