Efficient adjustment sets for time-dependent treatment effect estimation in nonparametric causal graphical model
Fuente:
arXiv
Saved in:
| Main Authors: | Adenyo, David, Schnitzer, Mireille E, Berger, David, Guertin, Jason R, Talbot, Denis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluation and comparison of covariate balance metrics in studies with time-dependent confounding
by: Adenyo, David, et al.
Published: (2024)
by: Adenyo, David, et al.
Published: (2024)
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
by: Jiang, Cong, et al.
Published: (2023)
by: Jiang, Cong, et al.
Published: (2023)
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
by: Choo, Davin, et al.
Published: (2024)
by: Choo, Davin, et al.
Published: (2024)
Greedy equivalence search for nonparametric graphical models
by: Aragam, Bryon
Published: (2024)
by: Aragam, Bryon
Published: (2024)
Selecting valid adjustment sets with uncertain causal graphs
by: Hu, Zhongyi, et al.
Published: (2025)
by: Hu, Zhongyi, et al.
Published: (2025)
Finite sample-optimal adjustment sets in linear Gaussian causal models
by: Rutsch, Nadja, et al.
Published: (2025)
by: Rutsch, Nadja, et al.
Published: (2025)
Efficient nonparametric estimation of Toeplitz covariance matrices
by: Klockmann, Karolina, et al.
Published: (2023)
by: Klockmann, Karolina, et al.
Published: (2023)
Universality in block dependent linear models with applications to nonparametric regression
by: Lahiry, Samriddha, et al.
Published: (2023)
by: Lahiry, Samriddha, et al.
Published: (2023)
Polynomial rates via deconvolution for nonparametric estimation in McKean-Vlasov SDEs
by: Amorino, Chiara, et al.
Published: (2024)
by: Amorino, Chiara, et al.
Published: (2024)
Adaptive Sparsening and Smoothing of the Treatment Model for Longitudinal Causal Inference Using Outcome‐Adaptive LASSO and Marginal Fused LASSO
by: Mireille E. Schnitzer, et al.
Published: (2026)
by: Mireille E. Schnitzer, et al.
Published: (2026)
Geometric extremal graphical models and coefficients of extremal dependence on block graphs
by: Papastathopoulos, Ioannis, et al.
Published: (2026)
by: Papastathopoulos, Ioannis, et al.
Published: (2026)
Partial heteroscedastic deconvolution estimation in nonparametric regression
by: Thiam, Baba
Published: (2026)
by: Thiam, Baba
Published: (2026)
Parametric and nonparametric probability distribution estimators of sample maximum
by: Moriyama, Taku
Published: (2021)
by: Moriyama, Taku
Published: (2021)
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
by: Zito, Alessandro, et al.
Published: (2023)
by: Zito, Alessandro, et al.
Published: (2023)
Minimax rates of convergence for the nonparametric estimation of the diffusion coefficient from time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025)
by: Mintsa, Eddy Michel Ella
Published: (2025)
Conditionally specified graphical modeling of stationary multivariate time series
by: Bhattacharya, Anirban, et al.
Published: (2025)
by: Bhattacharya, Anirban, et al.
Published: (2025)
Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models
by: Bartl, Daniel, et al.
Published: (2025)
by: Bartl, Daniel, et al.
Published: (2025)
The covariance of causal effect estimators for binary v-structures
by: Kuipers, Jack, et al.
Published: (2025)
by: Kuipers, Jack, et al.
Published: (2025)
On nonparametric estimation of the interaction function in particle system models
by: Belomestny, Denis, et al.
Published: (2024)
by: Belomestny, Denis, et al.
Published: (2024)
Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
by: Zheng, Nan, et al.
Published: (2024)
by: Zheng, Nan, et al.
Published: (2024)
On the admissibility of Horvitz-Thompson estimator for estimating causal effects under network interference
by: Karwa, Vishesh, et al.
Published: (2023)
by: Karwa, Vishesh, et al.
Published: (2023)
Lévy graphical models
by: Engelke, Sebastian, et al.
Published: (2024)
by: Engelke, Sebastian, et al.
Published: (2024)
Difference-based covariance matrix estimate in time series nonparametric regression with applications to specification tests
by: Bai, Lujia, et al.
Published: (2023)
by: Bai, Lujia, et al.
Published: (2023)
Controlling the false discovery rate under a non-parametric graphical dependence model
by: Nguyen, Drew T., et al.
Published: (2025)
by: Nguyen, Drew T., et al.
Published: (2025)
Rate-optimal and computationally efficient nonparametric estimation on the circle and the sphere
by: Georgiadis, Athanasios G., et al.
Published: (2025)
by: Georgiadis, Athanasios G., et al.
Published: (2025)
A new method of joint nonparametric estimation of probability density and its support
by: Moriyama, Taku
Published: (2017)
by: Moriyama, Taku
Published: (2017)
Local convergence rates of the nonparametric least squares estimator with applications to transfer learning
by: Schmidt-Hieber, Johannes, et al.
Published: (2022)
by: Schmidt-Hieber, Johannes, et al.
Published: (2022)
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
by: Lee, Jeyong, et al.
Published: (2022)
by: Lee, Jeyong, et al.
Published: (2022)
trajmsm: An R package for Trajectory Analysis and Causal Modeling
by: Diop, Awa, et al.
Published: (2024)
by: Diop, Awa, et al.
Published: (2024)
An explicit link between graphical models and Gaussian Markov random fields on metric graphs
by: Bolin, David, et al.
Published: (2025)
by: Bolin, David, et al.
Published: (2025)
Finite sample rates of convergence for the Bigraphical and Tensor graphical Lasso estimators
by: Zhou, Shuheng, et al.
Published: (2023)
by: Zhou, Shuheng, et al.
Published: (2023)
A matrix algebra for graphical statistical models
by: Zhao, Qingyuan
Published: (2024)
by: Zhao, Qingyuan
Published: (2024)
A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test
by: Smucler, Ezequiel, et al.
Published: (2025)
by: Smucler, Ezequiel, et al.
Published: (2025)
Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
Sometimes nonparametrics beat parametrics, even when the model is right
by: Byholt, Morten, et al.
Published: (2026)
by: Byholt, Morten, et al.
Published: (2026)
Observable adjustments in single-index models for regularized M-estimators
by: Bellec, Pierre C
Published: (2022)
by: Bellec, Pierre C
Published: (2022)
Community detection for binary graphical models in high dimension
by: Chevallier, Julien, et al.
Published: (2024)
by: Chevallier, Julien, et al.
Published: (2024)
Rates of convergence and normal approximations for estimators of local dependence random graph models
by: Stewart, Jonathan R.
Published: (2024)
by: Stewart, Jonathan R.
Published: (2024)
Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Property testing in graphical models: testing small separation numbers
by: Devroye, Luc, et al.
Published: (2024)
by: Devroye, Luc, et al.
Published: (2024)
Similar Items
-
Evaluation and comparison of covariate balance metrics in studies with time-dependent confounding
by: Adenyo, David, et al.
Published: (2024) -
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
by: Jiang, Cong, et al.
Published: (2023) -
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
by: Choo, Davin, et al.
Published: (2024) -
Greedy equivalence search for nonparametric graphical models
by: Aragam, Bryon
Published: (2024) -
Selecting valid adjustment sets with uncertain causal graphs
by: Hu, Zhongyi, et al.
Published: (2025)