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:
- Code for blog posts.☆20Updated 2 years ago
- This repo contains data, source code and other ressources related to the HIP model for online popularity of YouTube videos.☆43Updated 8 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆45Updated 5 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…☆60Updated 6 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- ☆26Updated 4 years ago
- ☆81Updated 5 years ago
- ☆94Updated 3 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 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…☆30Updated 6 years ago
- spatio-temporal social network analysis and simulation☆48Updated 6 years ago
- Causing: CAUsal INterpretation using Graphs☆61Updated this week
- Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 10 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆31Updated 5 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆97Updated 3 years ago
- Minimax Estimation of Conditional Moment Models☆32Updated 2 years ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆17Updated 6 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- ☆53Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- CJOBS☆14Updated 7 years ago
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 8 years ago