Saved in:
| Main Author: | Zhao, Qingyuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.03048 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Identifying causal effects in maximally oriented partially directed acyclic graphs
by: Perković, Emilija
Published: (2019)
by: Perković, Emilija
Published: (2019)
A matrix algebra for graphical statistical models
by: Zhao, Qingyuan
Published: (2024)
by: Zhao, Qingyuan
Published: (2024)
Grenander--Stone estimator: stacked constrained estimation of a discrete distribution over a general directed acyclic graph
by: Pastukhov, Vladimir
Published: (2022)
by: Pastukhov, Vladimir
Published: (2022)
A class of directed acyclic graphs with mixed data types in mediation analysis
by: Wei Hao, et al.
Published: (2025)
by: Wei Hao, et al.
Published: (2025)
On the number and size of Markov equivalence classes of random directed acyclic graphs
by: Schmid, Dominik, et al.
Published: (2022)
by: Schmid, Dominik, et al.
Published: (2022)
Identifiability of the minimum-trace directed acyclic graph and hill climbing algorithms without strict local optima under weakly increasing error variances
by: Chang, Hyunwoong, et al.
Published: (2025)
by: Chang, Hyunwoong, et al.
Published: (2025)
Colored Gaussian directed acyclic graphical models
by: Boege, Tobias, et al.
Published: (2024)
by: Boege, Tobias, et al.
Published: (2024)
Selecting valid adjustment sets with uncertain causal graphs
by: Hu, Zhongyi, et al.
Published: (2025)
by: Hu, Zhongyi, et al.
Published: (2025)
An average-case sensitivity analysis for unmeasured confounding
by: Zhang, Yao, et al.
Published: (2022)
by: Zhang, Yao, et al.
Published: (2022)
Confounder selection via iterative graph expansion
by: Guo, F. Richard, et al.
Published: (2023)
by: Guo, F. Richard, et al.
Published: (2023)
Cyclic quantum causal modelling with a graph separation theorem
by: Ferradini, Carla, et al.
Published: (2025)
by: Ferradini, Carla, et al.
Published: (2025)
Extremes of structural causal models
by: Engelke, Sebastian, et al.
Published: (2025)
by: Engelke, Sebastian, et al.
Published: (2025)
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)
Convergence of the empirical two-sample $U$-statistics with $β$-mixing data
by: Dehling, Herold, et al.
Published: (2020)
by: Dehling, Herold, et al.
Published: (2020)
Functional central limit theorems for $U$-statistics of beta-mixing data
by: Giraudo, Davide
Published: (2026)
by: Giraudo, Davide
Published: (2026)
What is causal about causal models and representations?
by: Jørgensen, Frederik Hytting, et al.
Published: (2025)
by: Jørgensen, Frederik Hytting, et al.
Published: (2025)
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges
by: Stewart, Jonathan R.
Published: (2024)
by: Stewart, Jonathan R.
Published: (2024)
Bounding the probability of causality under ordinal outcomes
by: Sun, Hanmei, et al.
Published: (2024)
by: Sun, Hanmei, et al.
Published: (2024)
Information-geometrical characterization of statistical models which are statistically equivalent to probability simplexes
by: Nagaoka, Hiroshi
Published: (2017)
by: Nagaoka, Hiroshi
Published: (2017)
Cyclic functional causal models beyond unique solvability with a graph separation theorem
by: Ferradini, Carla, et al.
Published: (2025)
by: Ferradini, Carla, 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)
Quantitative analysis of non-exchangeability in bivariate copulas: Sharp bounds, statistical tests and mixing constructions
by: Úbeda-Flores, Manuel
Published: (2026)
by: Úbeda-Flores, Manuel
Published: (2026)
Matching and mixing: Matchability of graphs under Markovian error
by: Li, Zhirui, et al.
Published: (2026)
by: Li, Zhirui, et al.
Published: (2026)
A constructive approach to selective risk control
by: Gao, Zijun, et al.
Published: (2024)
by: Gao, Zijun, et al.
Published: (2024)
New directions in algebraic statistics: Three challenges from 2023
by: Alexandr, Yulia, et al.
Published: (2024)
by: Alexandr, Yulia, et al.
Published: (2024)
Exchangeability, prediction and predictive modeling in Bayesian statistics
by: Fortini, Sandra, et al.
Published: (2024)
by: Fortini, Sandra, et al.
Published: (2024)
Comparison of open-source software for producing directed acyclic graphs
by: Pitts, Amy J., et al.
Published: (2023)
by: Pitts, Amy J., et al.
Published: (2023)
Structural restrictions in local causal discovery: identifying direct causes of a target variable
by: Bodik, Juraj, et al.
Published: (2023)
by: Bodik, Juraj, et al.
Published: (2023)
Multiple conditional randomization tests for lagged and spillover treatment effects
by: Zhang, Yao, et al.
Published: (2021)
by: Zhang, Yao, et al.
Published: (2021)
Finite sample-optimal adjustment sets in linear Gaussian causal models
by: Rutsch, Nadja, et al.
Published: (2025)
by: Rutsch, Nadja, et al.
Published: (2025)
Optimal transport and Wasserstein distances for causal models
by: Cheridito, Patrick, et al.
Published: (2023)
by: Cheridito, Patrick, et al.
Published: (2023)
On the large-sample limits of some Bayesian model evaluation statistics
by: Nguyen, Hien Duy, et al.
Published: (2025)
by: Nguyen, Hien Duy, et al.
Published: (2025)
The resource theory of causal influence and knowledge of causal influence
by: Ansanelli, Marina Maciel, et al.
Published: (2025)
by: Ansanelli, Marina Maciel, et al.
Published: (2025)
Uniform inference in linear mixed models
by: Ekvall, Karl Oskar, et al.
Published: (2025)
by: Ekvall, Karl Oskar, et al.
Published: (2025)
Efficient adjustment sets for time-dependent treatment effect estimation in nonparametric causal graphical model
by: Adenyo, David, et al.
Published: (2024)
by: Adenyo, David, et al.
Published: (2024)
Modified Greenwood statistic and its application for statistical testing
by: Skowronek, Katarzyna, et al.
Published: (2024)
by: Skowronek, Katarzyna, et al.
Published: (2024)
Inference in semiparametric formation models for directed networks
by: Qu, Lianqiang, et al.
Published: (2024)
by: Qu, Lianqiang, et al.
Published: (2024)
Differentially private estimation in a class of directed network models
by: Pan, Lu, et al.
Published: (2022)
by: Pan, Lu, et al.
Published: (2022)
The causal interpretation of acceleration factors
by: Brathovde, Mari, et al.
Published: (2024)
by: Brathovde, Mari, et al.
Published: (2024)
Consistency of heritability estimation from summary statistics in high-dimensional linear models
by: Azriel, David, et al.
Published: (2025)
by: Azriel, David, et al.
Published: (2025)
Similar Items
-
Identifying causal effects in maximally oriented partially directed acyclic graphs
by: Perković, Emilija
Published: (2019) -
A matrix algebra for graphical statistical models
by: Zhao, Qingyuan
Published: (2024) -
Grenander--Stone estimator: stacked constrained estimation of a discrete distribution over a general directed acyclic graph
by: Pastukhov, Vladimir
Published: (2022) -
A class of directed acyclic graphs with mixed data types in mediation analysis
by: Wei Hao, et al.
Published: (2025) -
On the number and size of Markov equivalence classes of random directed acyclic graphs
by: Schmid, Dominik, et al.
Published: (2022)