ogencoglu / causal_twitter_modeling_covid19Links
Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
☆10Updated 2 years ago
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:
- This repo contains data, source code and other ressources related to the HIP model for online popularity of YouTube videos.☆43Updated 7 years ago
- Code for blog posts.☆20Updated last year
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Tutorials for web scraping and crawling☆11Updated 5 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- ☆78Updated 5 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- ☆53Updated 5 years ago
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆29Updated 6 years ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆16Updated 5 years ago
- Machine learning based causal inference/uplift in Python☆61Updated last year
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 5 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆24Updated last year
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- Causing: CAUsal INterpretation using Graphs☆58Updated this week
- CJOBS☆14Updated 6 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆12Updated 5 years ago
- ☆94Updated 3 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- ☆147Updated 4 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 4 months ago