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:
- Kullback-Leibler projections for Bayesian model selection in Python☆36Updated 3 months ago
- Verty short course on evolutionary game theory☆176Updated 9 months ago
- A Stan-like probabilistic programming language.☆68Updated 4 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆66Updated 4 months ago
- Some teaching material and other educational resources☆41Updated 9 months ago
- Home for the computational inference reading group.☆17Updated 5 years ago
- Database with posteriors of interest for Bayesian inference☆202Updated last month
- Documentation for the Stan language and CmdStan☆39Updated 2 weeks ago
- A probabilistic programming framework☆43Updated last week
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆35Updated 8 months ago
- Automated Bayesian model discovery for time series data☆77Updated last month
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Python interface for the Stan to (Num)Pyro compiler.☆13Updated 3 years ago
- Bayesian Regression Models in Pyro☆72Updated 11 months ago
- Case studies in applied and computational statistics.☆38Updated 2 months ago
- Draft introduction to probability and inference aimed at the Stan manual.☆86Updated 9 years ago
- probabilistic programming focused on fun☆41Updated 8 months ago
- Text project for theoretical primer on human evolutionary ecology☆34Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- ☆13Updated 4 years ago
- This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail beh…☆29Updated 5 years ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Monitor MCMC runs in the browser☆36Updated last year
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated last week
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆102Updated 2 weeks ago
- ☆88Updated 5 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 6 years ago
- A fast C++ API for simulating the spread of epidemics on contact networks.☆41Updated last year
- Gaussian processes on graphs and lattices in Stan.☆18Updated 4 months ago
- Towards a more flexible BART☆22Updated last week