amit-sharma / splitdoor-causal-criterion
A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying causal effect.
☆15Updated 5 years ago
Alternatives and similar repositories for splitdoor-causal-criterion
Users that are interested in splitdoor-causal-criterion are comparing it to the libraries listed below
Sorting:
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- R tools for GDELT and the Global Knowledge Graph☆14Updated 11 years ago
- SigOpt's public R client☆14Updated last year
- Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"☆19Updated 5 years ago
- Active Learning in R☆47Updated 7 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆33Updated last year
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated 3 months ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- ☆32Updated 7 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated last year
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- A book on the applications of topic models.☆14Updated 7 years ago
- Bayesian nonparametric models for python☆18Updated 6 years ago
- Because you're computing conversion rates wrong☆16Updated 7 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆12Updated 7 years ago
- Python implementation of R package breakDown☆43Updated last year
- Deep learning examples☆13Updated 8 years ago
- BUS 41204: Machine Learning -- Winter 2016☆11Updated 8 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 9 years ago
- ☆53Updated 7 years ago
- FTRL-Proximal Online Learning Algorithm☆15Updated 7 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Time Series Feature Extraction and Visualization☆10Updated 7 years ago
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago