Research graph
References from Evaluating context in LLM prompts for causal inference in empirical sustainability studies. Local targets link to admitted publications; unresolved targets remain external evidence.
Bayesian nonparametric causal inference: information rates and learning algorithms
10.1109/jstsp.2018.2848230 · 2018 · External reference
Unresolved reference
2009 · External reference
Machine learning and causal inference for policy evaluation
10.1145/2783258.2785466 · 2015 · External reference
Hyperparameter tuning for causal inference with double machine learning: a simulation study
2024 · External reference
LLM-driven causal discovery via harmonized prior
10.1109/tkde.2025.3528461 · 2025 · External reference
Carbon pricing, compensation, and competitiveness: lessons from UK manufacturing
10.1016/j.jeem.2025.103208 · 2025 · External reference
Recent developments in causal inference and machine learning
10.1146/annurev-soc-030420-015345 · 2023 · External reference
Estimating individual treatment effects using non-parametric regression models: a review
10.1111/rssa.12824 · 2022 · External reference
Unveiling causal reasoning in large language models: reality or mirage?
10.52202/079017-3064 · 2024 · External reference
Integrating expert knowledge with data in Bayesian networks: preserving data-driven expectations when the expert variables remain unobserved
10.1016/j.eswa.2016.02.050 · 2016 · External reference
Using GPT-4 to guide causal machine learning
10.1016/j.eswa.2024.126120 · 2025 · External reference
Unresolved reference
2021 · External reference
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning
10.1093/biostatistics/kxz042 · 2020 · External reference
Causal discovery through synergizing large language model and data-driven reasoning
10.1145/3711896.3736874 · 2025 · External reference
Correlation or causation: analyzing the causal structures of LLM and LRM reasoning process
2025 · External reference
Air pollution and the housing market: evidence from Germany’s low emission zones
10.1016/j.jeem.2025.103161 · 2025 · External reference
Causal inference in business decision-making: integrating machine learning with econometric models for accurate business forecasts
10.21590/2885fr16 · 2023 · External reference
Recent developments in the econometrics of program evaluation
10.1257/jel.47.1.5 · 2009 · External reference
Estimating identifiable causal effects through double machine learning
10.1609/aaai.v35i13.17438 · 2021 · External reference
LLM-based agents for automated confounder discovery and subgroup analysis in causal inference
10.1109/iri66576.2025.00055 · 2025 · External reference
GPT-5 and open-weight large language models: advances in reasoning, transparency, and control
10.1016/j.is.2025.102620 · 2026 · External reference
Effects of expanding electric vehicle charging stations in California on the housing market
10.1038/s41893-022-01058-5 · 2023 · External reference
Open event causality extraction by the assistance of LLM in task annotation, dataset, and method
2024 · External reference
Causal inference with large language model: a Survey
10.18653/v1/2025.findings-naacl.327 · 2025 · External reference
Technical note: incorporating expert domain knowledge into causal structure discovery workflows
10.5194/bg-19-2095-2022 · 2022 · External reference
Decentralized renewable energy to grow manufacturing? Evidence from mini-grids in Nepal
10.1016/j.jeem.2024.103092 · 2025 · External reference
Estimating the effectiveness of forest protection using regression discontinuity
10.1016/j.jeem.2024.103021 · 2024 · External reference
Answering causal questions with augmented LLMs
2023 · External reference
Causal inference in statistics: an overview
10.1214/09-ss057 · 2009 · External reference
The foundations of causal inference
10.1111/j.1467-9531.2010.01228.x · External reference
Causal Inference
External reference
Generative AI and large language model assisted causal discovery and inference for driving process improvements
10.2118/221872-ms · 2024 · External reference
From causal to concept-based representation learning
10.52202/079017-3211 · 2024 · External reference
Making the most of AI and machine learning in organizations and strategy research: supervised machine learning, causal inference, and matching models
10.1002/smj.3604 · 2024 · External reference
CausalGraph2LLM: evaluating LLMs for causal queries
10.18653/v1/2025.findings-naacl.110 · 2025 · External reference
An introduction to causal inference
10.1177/0049124196024003004 · 1996 · External reference
Machine learning estimation of heterogeneous treatment effects with instruments
2019 · External reference
Integrating large language models in causal discovery: a statistical causal approach
2025 · External reference
A root cause analysis framework for IoT based on dynamic causal graphs assisted by LLMs
10.1109/jiot.2025.3578512 · 2025 · External reference
Causal order: the key to leveraging imperfect experts in causal inference
2025 · External reference
Achieving reliable causal inference with data-mined variables: a random forest approach to the measurement error problem
10.1287/ijds.2022.0019 · 2022 · External reference
Optimal causal decision trees ensemble for improved prediction and causal inference
10.1109/access.2022.3146406 · 2022 · External reference
From causal graphs to problem diagrams: enhancing safety requirement modeling with LLM
10.1109/rew66121.2025.00022 · 2025 · External reference
Machine learning for causal inference: on the use of cross-fit estimators
10.1097/ede.0000000000001332 · 2021 · External reference
