Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances
Fuente:
arXiv
Saved in:
| Main Authors: | Strieder, David, Drton, Mathias |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dual Likelihood for Causal Inference under Structure Uncertainty
by: Strieder, David, et al.
Published: (2024)
by: Strieder, David, et al.
Published: (2024)
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
by: Strieder, David, et al.
Published: (2024)
by: Strieder, David, et al.
Published: (2024)
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
by: Drton, Mathias, et al.
Published: (2025)
by: Drton, Mathias, et al.
Published: (2025)
Causal inference amid missingness-specific independencies and mechanism shifts
by: de Aguas, Johan, et al.
Published: (2025)
by: de Aguas, Johan, et al.
Published: (2025)
Representation of Context-Specific Causal Models with Observational and Interventional Data
by: Duarte, Eliana, et al.
Published: (2021)
by: Duarte, Eliana, et al.
Published: (2021)
Inference in high-dimensional logistic regression under tensor network dependence
by: Miles, Josh, et al.
Published: (2026)
by: Miles, Josh, et al.
Published: (2026)
Causal discovery under mean independence and linearity
by: Mesters, Geert, et al.
Published: (2026)
by: Mesters, Geert, et al.
Published: (2026)
Causal Structure Learning in Directed, Possibly Cyclic, Graphical Models
by: Semnani, Pardis, et al.
Published: (2023)
by: Semnani, Pardis, et al.
Published: (2023)
Causal chain event graphs for remedial maintenance
by: Yu, Xuewen, et al.
Published: (2022)
by: Yu, Xuewen, et al.
Published: (2022)
Heavy-tailed max-linear structural equation models in networks with hidden nodes
by: Krali, Mario, et al.
Published: (2023)
by: Krali, Mario, et al.
Published: (2023)
Identifying Direct Causal Effects in Latent Factor Models by Accounting for Unidentified Parents
by: Hochsprung, Tom, et al.
Published: (2026)
by: Hochsprung, Tom, et al.
Published: (2026)
Causal discovery in heavy-tailed linear structural equation models via scalings
by: Krali, Mario
Published: (2025)
by: Krali, Mario
Published: (2025)
Algebraic Constraints for Linear Acyclic Causal Models
by: Gigliotti, Cole, et al.
Published: (2025)
by: Gigliotti, Cole, et al.
Published: (2025)
Confidence Sets for Causal Orderings
by: Wang, Y. Samuel, et al.
Published: (2023)
by: Wang, Y. Samuel, et al.
Published: (2023)
Causal inference under interference: computational barriers and algorithmic solutions
by: Bhattacharya, Sohom, et al.
Published: (2025)
by: Bhattacharya, Sohom, et al.
Published: (2025)
Assimilative Causal Inference
by: Andreou, Marios, et al.
Published: (2025)
by: Andreou, Marios, et al.
Published: (2025)
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025)
by: Zhang, Yikun, et al.
Published: (2025)
Adversarial Estimation of Assortment Probabilities under Independence Structure
by: Belloni, Alexandre, et al.
Published: (2024)
by: Belloni, Alexandre, et al.
Published: (2024)
Modelling multivariate extreme value distributions via Markov trees
by: Hu, Shuang, et al.
Published: (2022)
by: Hu, Shuang, et al.
Published: (2022)
Asymptotic confidence bands for the histogram regression estimator
by: Neumeyer, Natalie, et al.
Published: (2025)
by: Neumeyer, Natalie, et al.
Published: (2025)
Bridging Prediction and Attribution: Identifying Forward and Backward Causal Influence Ranges Using Assimilative Causal Inference
by: Andreou, Marios, et al.
Published: (2025)
by: Andreou, Marios, et al.
Published: (2025)
Coverage correlation: detecting singular dependencies between random variables
by: Yang, Xuzhi, et al.
Published: (2025)
by: Yang, Xuzhi, et al.
Published: (2025)
Copula-Based Estimation of Causal Effects in Multiple Linear and Path Analysis Models
by: Ali, Alam, et al.
Published: (2024)
by: Ali, Alam, et al.
Published: (2024)
A new flexible class of kernel-based tests of independence
by: Cuparić, Marija, et al.
Published: (2024)
by: Cuparić, Marija, et al.
Published: (2024)
Identifying Interventional Joint Distributions via Extended Bridge Functions
by: Schott, Constantin
Published: (2026)
by: Schott, Constantin
Published: (2026)
Causal effect estimation under network interference with mean-field methods
by: Bhattacharya, Sohom, et al.
Published: (2024)
by: Bhattacharya, Sohom, et al.
Published: (2024)
Assumptions and Bounds in the Instrumental Variable Model
by: Richardson, Thomas S., et al.
Published: (2024)
by: Richardson, Thomas S., et al.
Published: (2024)
How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters
by: Raban, Daniel
Published: (2024)
by: Raban, Daniel
Published: (2024)
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
by: Göbler, Konstantin, et al.
Published: (2022)
by: Göbler, Konstantin, et al.
Published: (2022)
Asymptotic properties of the multivariate Szász-Mirakyan estimator for cumulative distribution functions on the nonnegative orthant
by: Lyu, Guanjie, et al.
Published: (2026)
by: Lyu, Guanjie, et al.
Published: (2026)
Spearman's rho for zero-inflated count data: formulation and attainable bounds
by: Arends, Jasper, et al.
Published: (2025)
by: Arends, Jasper, et al.
Published: (2025)
Restrictions of PCBNs for integration-free computations
by: Derumigny, Alexis, et al.
Published: (2025)
by: Derumigny, Alexis, et al.
Published: (2025)
Environment Invariant Linear Least Squares
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
On the Bernstein-smoothed lower-tail Spearman's rho estimator
by: Ouimet, Frédéric, et al.
Published: (2025)
by: Ouimet, Frédéric, et al.
Published: (2025)
Personalised Decision-Making without Counterfactuals
by: Dawid, A. Philip, et al.
Published: (2023)
by: Dawid, A. Philip, et al.
Published: (2023)
Estimation beyond Missing (Completely) at Random
by: Ma, Tianyi, et al.
Published: (2024)
by: Ma, Tianyi, et al.
Published: (2024)
Extreme-PLS with missing data under weak dependence
by: Girard, Stéphane, et al.
Published: (2025)
by: Girard, Stéphane, et al.
Published: (2025)
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024)
by: Zhang, Yikun, et al.
Published: (2024)
A new measure of dependence: Integrated $R^2$
by: Azadkia, Mona, et al.
Published: (2025)
by: Azadkia, Mona, et al.
Published: (2025)
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics
by: Sturma, Nils, et al.
Published: (2022)
by: Sturma, Nils, et al.
Published: (2022)
Similar Items
-
Dual Likelihood for Causal Inference under Structure Uncertainty
by: Strieder, David, et al.
Published: (2024) -
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
by: Strieder, David, et al.
Published: (2024) -
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
by: Drton, Mathias, et al.
Published: (2025) -
Causal inference amid missingness-specific independencies and mechanism shifts
by: de Aguas, Johan, et al.
Published: (2025) -
Representation of Context-Specific Causal Models with Observational and Interventional Data
by: Duarte, Eliana, et al.
Published: (2021)