SamotsvetyForecasting / optimal-scoringLinks
This git repository outlines three scoring rules that I believe might serve current forecasting platforms better than current alternatives. It stems from my frustrations with current scoring rules and with the Keynesian Beauty Contest method used in Karger et al. to resolve questions which may otherwise seem unresolvable
☆17Updated 3 years ago
Alternatives and similar repositories for optimal-scoring
Users that are interested in optimal-scoring are comparing it to the libraries listed below
Sorting:
- Verty short course on evolutionary game theory☆178Updated 10 months ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆67Updated 6 months ago
- The Stan transpiler (from Stan to C++ and beyond).☆148Updated last week
- Database with posteriors of interest for Bayesian inference☆206Updated this week
- A Stan-like probabilistic programming language.☆68Updated 4 years ago
- Automated Bayesian model discovery for time series data☆80Updated this week
- Kullback-Leibler projections for Bayesian model selection in Python☆38Updated last week
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- probabilistic programming focused on fun☆42Updated 3 weeks ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆103Updated 2 weeks ago
- Python interface for the Stan to (Num)Pyro compiler.☆13Updated 3 years ago
- A compiler for Bayesian time series models.☆24Updated last year
- ☆13Updated 4 years ago
- Some teaching material and other educational resources☆41Updated last week
- An experimental language for causal reasoning☆220Updated last month
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Monitor MCMC runs in the browser☆36Updated last year
- CmdStan, the command line interface to Stan☆228Updated this week
- ☆21Updated last year
- Home for the computational inference reading group.☆17Updated 5 years ago
- A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.☆54Updated 3 weeks ago
- Materials for the course on Bayesian model building run at Second Faculty of Medicine at Charles University in Prague☆11Updated last year
- ☆18Updated 2 years ago
- A quarto notebook introducing Stan in Python (and maybe R).☆32Updated 2 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago
- A probabilistic programming framework☆43Updated this week
- Bayesian Regression Models in Pyro☆72Updated last year
- Documentation for the Stan language and CmdStan☆39Updated this week
- ☆88Updated 5 years ago
- Grammatical Evolution for R☆28Updated 2 years ago