Bo-Ning / Bayesian-multivariate-time-series-causal-inference
R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
☆45Updated 4 years ago
Alternatives and similar repositories for Bayesian-multivariate-time-series-causal-inference:
Users that are interested in Bayesian-multivariate-time-series-causal-inference are comparing it to the libraries listed below
- Dimension Reduction Methods for Multivariate Time Series☆58Updated 6 months ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆107Updated last year
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆44Updated 7 months ago
- Nonlinear time series analysis in R☆36Updated 6 months ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 5 years ago
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.☆54Updated 9 months ago
- ☆31Updated 3 months ago
- Full Bayesian Inference for Hidden Markov Models☆42Updated 6 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆59Updated 4 years ago
- Empirical comparison of penalized linear regression in high-dimensional settings☆12Updated 5 years ago
- Multivariate Autoregressive State-Space Modeling with R☆52Updated last year
- GRATIS: GeneRAting TIme Series with diverse and controllable characteristics☆76Updated 11 months ago
- R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the …☆10Updated 5 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- Time Series Analysis for the State-Space Model with R/Stan☆24Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated last year
- Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net☆10Updated 4 months ago
- ☆27Updated 6 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆19Updated 10 months ago
- This is a read-only mirror of the CRAN R package repository. quantreg — Quantile Regression. Homepage: https://www.r-project.org☆19Updated 3 weeks ago
- Bayesian Causal Forests☆43Updated 10 months ago
- ☆42Updated 3 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 9 months ago
- Time Series Ensemble Forecasting☆78Updated 8 months ago
- R package for Feature-based Forecast Model Averaging☆34Updated 5 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- ☆14Updated 4 years ago
- R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).☆27Updated 7 years ago
- Dynamic factor model estimation for R☆23Updated 2 years ago