opardo / GPDPQuantRegLinks
R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.
☆11Updated 5 years ago
Alternatives and similar repositories for GPDPQuantReg
Users that are interested in GPDPQuantReg are comparing it to the libraries listed below
Sorting:
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 4 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆53Updated 7 years ago
- ☆97Updated 7 years ago
- ☆116Updated 6 years ago
- Tools for conformal inference in regression☆248Updated 11 months ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆109Updated last year
- ☆42Updated 4 years ago
- ProbCast: an R Package for Flexible Probabilistic Forecasting☆32Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Statistical inference of vine copulas☆93Updated 4 months ago
- ☆30Updated 4 years ago
- ☆34Updated 3 years ago
- R package cfcausal☆32Updated 2 years ago
- ☆92Updated 7 months ago
- ☆17Updated 4 years ago
- Stan models for state space time series☆145Updated 8 years ago
- ☆95Updated last year
- Temporal HIErarchical Forecasting☆47Updated 2 years ago
- Bayesian Causal Forests☆48Updated last year
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 6 years ago
- Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies☆81Updated 5 years ago
- GRATIS: GeneRAting TIme Series with diverse and controllable characteristics☆76Updated last year
- Random Forests for Conditional Density Estimation☆42Updated 4 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 5 years ago
- Causal Inference using Bayesian Additive Regression Trees☆81Updated last week