ogencoglu / causal_twitter_modeling_covid19Links
Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
☆10Updated last year
Alternatives and similar repositories for causal_twitter_modeling_covid19
Users that are interested in causal_twitter_modeling_covid19 are comparing it to the libraries listed below
Sorting:
- CJOBS☆13Updated 6 years ago
- Code for blog posts.☆19Updated last year
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 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.☆56Updated last year
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- ☆16Updated 10 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated last year
- Breast cancer prediction using causal Inference☆11Updated 3 years ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆15Updated 5 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 5 years ago
- List of python packages for causal inference☆17Updated 3 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 7 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 2 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆20Updated last year
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆29Updated 5 years ago
- Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"☆19Updated 6 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 4 years ago
- Causal Inference in Python☆43Updated 4 months ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago