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Discovering Causal Models with Optimization: Confounders, Cycles, and Instrument Validity

https://doi.org/10.2139/ssrn.3873034
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28/28 checkable references clean · checked 2026-08-27

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

32 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 28 checked references that resolve
resolves10.1080/01621459.1996.10476902
Identification of Causal Effects Using Instrumental Variables
resolves10.2307/2937954
Does Compulsory School Attendance Affect Schooling and Earnings?
resolves10.1257/jep.15.4.69
Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments
resolves10.1080/01621459.1997.10474074
Bounds on Treatment Effects from Studies with Imperfect Compliance
resolves10.1287/opre.46.3.316
Branch-and-Price: Column Generation for Solving Huge Integer Programs
resolves10.1016/j.artint.2015.03.003
Integer Linear Programming for the Bayesian network structure learning problem
resolves10.1093/restud/rdt044
Inference on Treatment Effects after Selection among High-Dimensional Controls
resolves10.1162/REST_a_00314
Season of Birth and Later Outcomes: Old Questions, New Answers
resolves10.3386/w4483
Using Geographic Variation in College Proximity to Estimate the Return to Schooling
resolves10.1016/S1573-4463(99)03011-4
The Causal Effect of Education on Earnings
resolves10.1007/s41060-016-0038-6
Introduction to the foundations of causal discovery
resolves10.1201/9780429246593
An Introduction to the Bootstrap
resolves10.1111/sjos.12194
Graphs for Margins of Bayesian Networks
resolves10.1002/net.3230200504
Identifying independence in bayesian networks
resolves10.1111/j.1468-0262.2005.00594.x
Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
resolves10.1111/j.1467-985X.2004.00339.x
Robust, Accurate Confidence Intervals with a Weak Instrument: Quarter of Birth and Education
resolves10.1093/biomet/asaa003
Generalized instrumental inequalities: testing the instrumental variable independence assumption
resolves10.3982/ECTA11974
A Test for Instrument Validity
resolves10.1287/opre.1050.0234
Selected Topics in Column Generation
resolves10.1038/nmeth0410-247
Predicting causal effects in large-scale systems from observational data
resolves10.1287/ijoo.2019.0040
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data
resolves10.1162/REST_a_00622
Testing Local Average Treatment Effect Assumptions
resolves10.1257/jep.20.4.111
Avoiding Invalid Instruments and Coping with Weak Instruments
resolves10.1016/j.ijar.2019.10.009
Discovering causal graphs with cycles and latent confounders: An exact branch-and-bound approach
resolves10.1093/biomet/asaa104
Consistency guarantees for greedy permutation-based causal inference algorithms
resolves10.2307/2171753
Instrumental Variables Regression with Weak Instruments
resolves10.1198/073500102288618658
A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
resolves10.1145/3351342
Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values
The 32 references without a DOI — listed, not checked
no DOI — not checkedProblems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak
no DOI — not checkedref9
no DOI — not checkedInteger programming for causal structure learning in the presence of latent variables
no DOI — not checkedLearning sparse causal models is not NP-hard
no DOI — not checkedLearning high-dimensional directed acyclic graphs with latent and selection variables
no DOI — not checkedBayesian network learning with cutting planes
no DOI — not checkedref20
no DOI — not checkedref21
no DOI — not checkedref22
no DOI — not checkedLearning linear cyclic causal models with latent variables
no DOI — not checkedConstraint-based causal discovery: Conflict resolution with answer set programming
no DOI — not checkedDiscovering cyclic causal models with latent variables: a general SAT-based procedure
no DOI — not checkedA core-guided approach to learning optimal causal graphs
no DOI — not checkedLearning Bayesian network structure using LP relaxations
no DOI — not checkedSeasonality of birth: two findings from the decennial census
no DOI — not checkedref34
no DOI — not checkedAncestral causal inference
no DOI — not checkedStrong completeness and faithfulness in bayesian networks
no DOI — not checkedBayesian network learning via topological order
no DOI — not checkedref43
no DOI — not checkedLearning optimal causal graphs with exact search
no DOI — not checkedref46
no DOI — not checkedDirected cyclic graphical representations of feedback models
no DOI — not checkedref49
no DOI — not checkedCausal discovery and inference: concepts and recent methodological advances
no DOI — not checkedInstrumental variables in economics and statistics
no DOI — not checkedEstimating causal effects with a non-paranormal method for the design of efficient intervention experiments
no DOI — not checkedConstraint-based causal discovery from multiple interventions over overlapping variable sets
no DOI — not checkedGeometry of the faithfulness assumption in causal inference
no DOI — not checkedEquivalence and synthesis of causal models
no DOI — not checkedSAT-based causal discovery under weaker assumptions
no DOI — not checkedStrong faithfulness and uniform consistency in causal inference
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