nchopin / py-smc2
Automatically exported from code.google.com/p/py-smc2
☆13Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for py-smc2
- Markov-Switching State-Space Models☆12Updated last year
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆75Updated 8 months ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆79Updated 2 months ago
- ☆54Updated 2 years ago
- A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan impl…☆44Updated 2 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆95Updated last week
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated 11 months ago
- R-package for building and fitting Bayesian ODE models in Stan☆25Updated 2 months ago
- ☆70Updated last year
- Julia package for using Jags as an external program☆17Updated 10 months ago
- Matlab interface to Stan, a package for Bayesian inference☆81Updated last year
- PyJAGS: The Python Interface to JAGS☆22Updated 2 years ago
- Pythonic interface to R's brms☆44Updated 2 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Stan models for state space time series☆140Updated 7 years ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated 2 months ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 6 years ago
- ☆15Updated 7 years ago
- Inference case studies in knitr☆165Updated 2 years ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆64Updated 4 years ago
- Self-tuning HMC algorithms and evaluations☆17Updated last month
- Course material for the PhD course in Advanced Bayesian Learning☆56Updated 2 weeks ago
- Kullback-Leibler projections for Bayesian model selection in Python☆30Updated 4 months ago
- A system for Bayesian estimation of state space models using PyMC☆32Updated last year
- Exploring and eliciting probability distributions☆91Updated this week
- R package: multilevel hidden Markov models using Bayesian estimation☆17Updated 2 months ago
- Reimplementation of Stan algorithms☆20Updated 2 years ago
- Case studies on model assessment, model selection and inference after model selection☆171Updated 10 months ago
- Implementation of B-Splines in Stan☆52Updated 7 years ago
- ☆26Updated last month