Bounding Treatment Effects by Pooling Limited Information across Observations
Causal Inference in Case-Control Studies
Cross-asset price impact is set-identified, not point-identified: the confounding gap has rank at most K + rank(B). A diagonal truth still yields a dense cross-impact matrix, and the trades immune to the resulting cost error form a large but measure-zero subspace. Preregistered and reproducible.
[Experimental] Federated Partial Identification for Causal Inference with OMOP CDM
A unified Python framework for causal effect bounding algorithms
Estimating the Effect of Persuasion in Stata
Reproducibility artifact for 'Sharp Target-Domain Certificates for Quantum-Kernel Advantage under Distribution Shift': sharp finite-batch certificates, controlled quantum-vs-classical kernel benchmark (EMBER, UNSW-NB15, ToN-IoT, TableShift), frozen specifications, prediction locks, manuscript sources. Zenodo v1.1.6.
Claim-relative identified sets across benchmark evaluation specifications
Implementation for the working paper: Symmetry-Informed Causal Partial Identification
Replication files for Jun and Lee (2022)
Reproducible code and derived data for testing how present-day stellar constraints identify cumulative EUV and wind histories in TOI-700 and LHS 1140.
Archival code, results, and reproducibility bundle for common-witness counterfactual image audits; see KNOWN_ISSUES.md before rerunning.
Sharp performance bounds for early-warning evaluation with interval-uncertain event onset.
Tight best- and worst-case fill bounds for a passive order backtested on L2 data
Evidence-conditioned, provenance-gated reconstruction of partially identified source-to-destination mass flows.
Beyond Return Ratios: identification, partial identification, timing effects, mechanism evidence, simulations, and reproducibility for leveraged ETFs (LETFs) in quantitative finance.
Unrefereed candidate on sharp partial identification of diversification histories, with executable replay and scoped assurance
Estimating the Effect of Persuasion in Stata
A new kind of world model: the PSD coupling kernel K(T,T') of admissible possible worlds. Diagonal = prediction, off-diagonal = counterfactual coupling. Built in public.
What competitive H/T and D/T kinetics identifies about enzymatic hydrogen transfer: data, code and verification suite
To associate your repository with the partial-identification topic, visit your repo's landing page and select "manage topics."