Testable Implications of Linear Structural Equation Models
Authors: Bryant Chen, Jin Tian, Judea Pearl
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we extend the half-trek criterion of (Foygel, Draisma, and Drton 2012) to identify a larger set of structural coefficients and use it to systematically discover overidentifying constraints. Still open is the question of whether our algorithm is complete. and Algorithm 1 Identify and Algorithm 2 Find Constraints |
| Researcher Affiliation | Academia | Bryant Chen University of California, Los Angeles Computer Science Department Los Angeles, CA, 90095-1596, USA bryantc@cs.ucla.edu Jin Tian Iowa State University Computer Science Department Ames, IA 50011 jtian@iastate.edu Judea Pearl University of California, Los Angeles Computer Science Department Los Angeles, CA, 90095-1596, USA judea@cs.ucla.edu |
| Pseudocode | Yes | Algorithm 1 Identify and Algorithm 2 Find Constraints |
| Open Source Code | No | The paper does not include any statement or link regarding the public availability of its source code. |
| Open Datasets | No | The paper focuses on theoretical contributions and does not report using any datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not provide details on dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe the hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not provide specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not provide details about experimental setup or hyperparameters. |