Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects
Fuente:
arXiv
Saved in:
| Main Authors: | Loranchet, Timothée, Assaad, Charles K. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
by: Loranchet, Timothée, et al.
Published: (2025)
by: Loranchet, Timothée, et al.
Published: (2025)
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
by: Ferreira, Simon, et al.
Published: (2024)
by: Ferreira, Simon, et al.
Published: (2024)
Identifiability of Direct Effects from Summary Causal Graphs
by: Ferreira, Simon, et al.
Published: (2023)
by: Ferreira, Simon, et al.
Published: (2023)
Regret-Based Federated Causal Discovery with Unknown Interventions
by: Baldo, Federico, et al.
Published: (2025)
by: Baldo, Federico, et al.
Published: (2025)
Causal reasoning in difference graphs
by: Assaad, Charles K.
Published: (2024)
by: Assaad, Charles K.
Published: (2024)
Identifying Macro Causal Effects in a C-DMG over ADMGs
by: Ferreira, Simon, et al.
Published: (2025)
by: Ferreira, Simon, et al.
Published: (2025)
Identifying Macro Causal Effects in C-DMGs over DMGs
by: Ferreira, Simon, et al.
Published: (2025)
by: Ferreira, Simon, et al.
Published: (2025)
On Efficient Adjustment for Micro Causal Effects in Summary Causal Graphs
by: Belciug, Isabela, et al.
Published: (2025)
by: Belciug, Isabela, et al.
Published: (2025)
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
by: Ferreira, Simon, et al.
Published: (2024)
by: Ferreira, Simon, et al.
Published: (2024)
Hybrid Local Causal Discovery
by: Ling, Zhaolong, et al.
Published: (2024)
by: Ling, Zhaolong, et al.
Published: (2024)
Retrieving Classes of Causal Orders with Inconsistent Knowledge Bases
by: Baldo, Federico, et al.
Published: (2024)
by: Baldo, Federico, et al.
Published: (2024)
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms
by: Bystrova, Daria, et al.
Published: (2023)
by: Bystrova, Daria, et al.
Published: (2023)
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion
by: Assaad, Charles K.
Published: (2024)
by: Assaad, Charles K.
Published: (2024)
Local Causal Discovery for Statistically Efficient Causal Inference
by: Schubert, Mátyás, et al.
Published: (2025)
by: Schubert, Mátyás, et al.
Published: (2025)
Causal Discovery Under Local Privacy
by: Binkytė, Rūta, et al.
Published: (2023)
by: Binkytė, Rūta, et al.
Published: (2023)
Local Causal Discovery with Linear non-Gaussian Cyclic Models
by: Dai, Haoyue, et al.
Published: (2024)
by: Dai, Haoyue, et al.
Published: (2024)
MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programming
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
Binary Spiking Neural Networks as Causal Models
by: Kar, Aditya, et al.
Published: (2026)
by: Kar, Aditya, et al.
Published: (2026)
From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables
by: Li, Zongyu
Published: (2026)
by: Li, Zongyu
Published: (2026)
Effect-Level Validation for Causal Discovery
by: Dang, Hoang, et al.
Published: (2026)
by: Dang, Hoang, et al.
Published: (2026)
Event Causality Identification with Synthetic Control
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Argumentative Causal Discovery
by: Russo, Fabrizio, et al.
Published: (2024)
by: Russo, Fabrizio, et al.
Published: (2024)
Large Language Models for Causal Discovery: Current Landscape and Future Directions
by: Wan, Guangya, et al.
Published: (2024)
by: Wan, Guangya, et al.
Published: (2024)
Identifying Unique Spatial-Temporal Bayesian Network without Markov Equivalence
by: Kang, Mingyu, et al.
Published: (2022)
by: Kang, Mingyu, et al.
Published: (2022)
Identifiability by common backdoor in summary causal graphs of time series
by: Yvernes, Clément, et al.
Published: (2025)
by: Yvernes, Clément, et al.
Published: (2025)
Optimal Experiments for Partial Causal Effect Identification
by: Maringgele, Tobias, et al.
Published: (2026)
by: Maringgele, Tobias, et al.
Published: (2026)
Hybrid Causal Identification and Causal Mechanism Clustering
by: Liu, Saixiong, et al.
Published: (2025)
by: Liu, Saixiong, et al.
Published: (2025)
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
by: Zan, Lei, et al.
Published: (2024)
by: Zan, Lei, et al.
Published: (2024)
Minimal, Local, Causal Explanations for Jailbreak Success in Large Language Models
by: Kumar, Shubham, et al.
Published: (2026)
by: Kumar, Shubham, et al.
Published: (2026)
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs
by: Schauer, Moritz, et al.
Published: (2023)
by: Schauer, Moritz, et al.
Published: (2023)
Causal Reasoning in Pieces: Modular In-Context Learning for Causal Discovery
by: Kadziolka, Kacper, et al.
Published: (2025)
by: Kadziolka, Kacper, et al.
Published: (2025)
Causality-Aware Local Interpretable Model-Agnostic Explanations
by: Cinquini, Martina, et al.
Published: (2022)
by: Cinquini, Martina, et al.
Published: (2022)
Local Causal Structure Learning in the Presence of Latent Variables
by: Xie, Feng, et al.
Published: (2024)
by: Xie, Feng, et al.
Published: (2024)
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing
by: Nguyen, Minh, et al.
Published: (2024)
by: Nguyen, Minh, et al.
Published: (2024)
Causal MAS: A Survey of Large Language Model Architectures for Discovery and Effect Estimation
by: Bazgir, Adib, et al.
Published: (2025)
by: Bazgir, Adib, et al.
Published: (2025)
Identifiability of total effects from abstractions of time series causal graphs
by: Assaad, Charles K., et al.
Published: (2023)
by: Assaad, Charles K., et al.
Published: (2023)
DAGnosis: Localized Identification of Data Inconsistencies using Structures
by: Huynh, Nicolas, et al.
Published: (2024)
by: Huynh, Nicolas, et al.
Published: (2024)
Causal Effect Identification in a Sub-Population with Latent Variables
by: Abouei, Amir Mohammad, et al.
Published: (2024)
by: Abouei, Amir Mohammad, et al.
Published: (2024)
s-ID: Causal Effect Identification in a Sub-Population
by: Abouei, Amir Mohammad, et al.
Published: (2023)
by: Abouei, Amir Mohammad, et al.
Published: (2023)
Fast Proxy Experiment Design for Causal Effect Identification
by: Elahi, Sepehr, et al.
Published: (2024)
by: Elahi, Sepehr, et al.
Published: (2024)
Similar Items
-
Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
by: Loranchet, Timothée, et al.
Published: (2025) -
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
by: Ferreira, Simon, et al.
Published: (2024) -
Identifiability of Direct Effects from Summary Causal Graphs
by: Ferreira, Simon, et al.
Published: (2023) -
Regret-Based Federated Causal Discovery with Unknown Interventions
by: Baldo, Federico, et al.
Published: (2025) -
Causal reasoning in difference graphs
by: Assaad, Charles K.
Published: (2024)