Bounding Treatment Effects by Pooling Limited Information across Observations
-
Updated
May 11, 2026 - R
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
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
Estimating the Effect of Persuasion in Stata
Implementation for the working paper: Symmetry-Constrained Causal Partial Identification
Replication files for Jun and Lee (2022)
Sharp performance bounds for early-warning evaluation with interval-uncertain event onset.
Reproducible code and derived data for testing how present-day stellar constraints identify cumulative EUV and wind histories in TOI-700 and LHS 1140.
R package for regression sensitivity analysis to omitted variable bias: identified sets and breakdown points following Diegert, Masten & Poirier (2026) and Oster (2019).
Archival code, results, and reproducibility bundle for common-witness counterfactual image audits; see KNOWN_ISSUES.md before rerunning.
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
Beyond Return Ratios: identification, partial identification, timing effects, mechanism evidence, simulations, and reproducibility for leveraged ETFs (LETFs) in quantitative finance.
Evidence-conditioned, provenance-gated reconstruction of partially identified source-to-destination mass flows.
To associate your repository with the partial-identification topic, visit your repo's landing page and select "manage topics."