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ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data
v1v2 (latest)

ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data

12 September 2016
Babak Salimi
Dan Suciu
    CML
ArXiv (abs)PDFHTML

Papers citing "ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data"

2 / 2 papers shown
Title
Generalized coarsened confounding for causal effects: a large-sample framework
Generalized coarsened confounding for causal effects: a large-sample framework
Debashis Ghosh
Lei Wang
CML
57
0
0
06 Jan 2025
An empirical process framework for covariate balance in causal inference
An empirical process framework for covariate balance in causal inference
Efrén Cruz-Cortés
K. Josey
Fan Yang
Debashis Ghosh
67
0
0
02 Jan 2023
1