CausalEM Grid Search Results - ACIC 2016 & 2017 Benchmarks
Abstract
Grid search for default parameters (matching caliper and scale) for the CausalEM package, supporting the Journal of Statistical Software manuscript 'CausalEM: A Python Package for Causal Inference using Ensemble Matching'. Contains results from a 6x6 grid search over matching_scale and matching_caliper parameters, evaluated on ACIC 2016: 7,700 simulated datasets (77 DGPs x 100 seeds) ACIC 2017: 8,000 simulated datasets (32 DGPs x 250 sims) Each configuration includes detailed per-dataset results, aggregated metrics (bias, RMSE), and execution metadata. Verification: SHA256: 8fca20f08d513b86e178e90d38fa0f8e449c255214723655c41abd96f034e4b4
Fields of Study & Subjects
Advanced Causal Inference Techniques
Statistical Methods and Inference
Simulation Techniques and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 January 2026
- Document type
- Dataset