edfong / conformal_bayes
Conformal Bayes with importance sampling
☆21Updated 3 years ago
Alternatives and similar repositories for conformal_bayes
Users that are interested in conformal_bayes are comparing it to the libraries listed below
Sorting:
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated last year
- A simple library to run variational inference on Stan models.☆30Updated 2 years ago
- The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.☆16Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated 7 months ago
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- Tools for generalized quantile modeling☆15Updated 2 years ago
- Adjustment Identification Distance: A gadjid for Causal Structure Learning☆10Updated 3 months ago
- GP nowcasting for Brazil Covid-19 mortality☆9Updated 9 months ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Tools for causal discovery in R☆19Updated 2 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 9 months ago
- The code in this repository follows the paper "Stochastic gradient MCMC"☆26Updated 5 years ago
- Towards a more flexible BART☆22Updated last week
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Gaussian processes on graphs and lattices in Stan.☆17Updated last month
- Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.☆12Updated 2 years ago
- ☆17Updated 11 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆61Updated 4 years ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆27Updated 2 months ago
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆64Updated 2 months ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆19Updated 2 months ago
- R-package for building and fitting Bayesian ODE models in Stan☆27Updated 8 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Bayesian Causal Forests☆45Updated last year
- Orthogonal Quantile Regression☆11Updated 3 years ago
- Code for Flexible Model Aggregation for Quantile Regression☆17Updated 2 years ago