Stars
Extracts Covid-19 and other demographic metrics regarding U.S.A and Italy
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
IPW estimators of causal effect estimands in the presence of interference
Estimators for Causal Inference for Observational Studies with Clustered Interference
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Bayesian Data Analysis course at Aalto
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
Systematic dataset of Covid-19 policy, from Oxford University
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
A topic-centric list of HQ open datasets.