The causal interpretation of acceleration factors
Fuente:
arXiv
Saved in:
| Main Authors: | Brathovde, Mari, Putter, Hein, Valberg, Morten, Post, Richard A. J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
by: Post, Richard, et al.
Published: (2022)
by: Post, Richard, et al.
Published: (2022)
Extremes of structural causal models
by: Engelke, Sebastian, et al.
Published: (2025)
by: Engelke, Sebastian, et al.
Published: (2025)
Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
by: Ung, Lawson, et al.
Published: (2024)
by: Ung, Lawson, et al.
Published: (2024)
Statistical methods: Basic concepts, interpretations, and cautions
by: Greenland, Sander
Published: (2025)
by: Greenland, Sander
Published: (2025)
Identifiability of causal effects with non-Gaussianity and auxiliary covariates
by: Shuai, Kang, et al.
Published: (2023)
by: Shuai, Kang, et al.
Published: (2023)
Estimation of causal dose-response functions under data fusion
by: Lim, Jaewon, et al.
Published: (2025)
by: Lim, Jaewon, et al.
Published: (2025)
Design-based inference for generalized causal effects in randomized experiments
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Partial identification of principal causal effects under violations of principal ignorability
by: Wu, Minxuan, et al.
Published: (2024)
by: Wu, Minxuan, et al.
Published: (2024)
Finite sample-optimal adjustment sets in linear Gaussian causal models
by: Rutsch, Nadja, et al.
Published: (2025)
by: Rutsch, Nadja, et al.
Published: (2025)
Embedding Network Autoregression for time series analysis and causal peer effect inference
by: Chang, Jae Ho, et al.
Published: (2024)
by: Chang, Jae Ho, et al.
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)
The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters
by: Moosavi, Niloofar, et al.
Published: (2021)
by: Moosavi, Niloofar, et al.
Published: (2021)
A fine-grained look at causal effects in causal spaces
by: Park, Junhyung, et al.
Published: (2025)
by: Park, Junhyung, et al.
Published: (2025)
Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
by: Wang, Rui, et al.
Published: (2026)
by: Wang, Rui, et al.
Published: (2026)
Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)
by: Eichhorn, Matthew, et al.
Published: (2024)
Sharp variance estimator and causal bootstrap in stratified randomized experiments
by: Yu, Haoyang, et al.
Published: (2024)
by: Yu, Haoyang, et al.
Published: (2024)
Estimation of the complier causal hazard ratio under dependent censoring
by: Crommen, Gilles, et al.
Published: (2025)
by: Crommen, Gilles, et al.
Published: (2025)
Unifying regression-based and design-based causal inference in time-series experiments
by: Lin, Zhexiao, et al.
Published: (2025)
by: Lin, Zhexiao, et al.
Published: (2025)
Inverting estimating equations for causal inference on quantiles
by: Cheng, Chao, et al.
Published: (2024)
by: Cheng, Chao, et al.
Published: (2024)
False discovery rate control with compound p-values
by: Barber, Rina Foygel, et al.
Published: (2025)
by: Barber, Rina Foygel, et al.
Published: (2025)
Testing conditional independence under isotonicity
by: Hore, Rohan, et al.
Published: (2025)
by: Hore, Rohan, et al.
Published: (2025)
Empirical Bayes factors for common hypothesis tests
by: Dudbridge, Frank
Published: (2023)
by: Dudbridge, Frank
Published: (2023)
Model-based causal feature selection for general response types
by: Kook, Lucas, et al.
Published: (2023)
by: Kook, Lucas, et al.
Published: (2023)
High-dimensional inference for single-index model with latent factors
by: Shi, Yanmei, et al.
Published: (2025)
by: Shi, Yanmei, et al.
Published: (2025)
Weight-calibrated estimation for factor models of high-dimensional time series
by: Qiao, Xinghao, et al.
Published: (2025)
by: Qiao, Xinghao, et al.
Published: (2025)
Structural adaptation and rate accelerated estimation in bivariate functional data
by: Kassi, Omar, et al.
Published: (2024)
by: Kassi, Omar, et al.
Published: (2024)
Nonparametric, tuning-free estimation of S-shaped functions
by: Feng, Oliver Y., et al.
Published: (2021)
by: Feng, Oliver Y., et al.
Published: (2021)
Exact Exploratory Bi-factor Analysis: A Constraint-based Optimisation Approach
by: Qiao, Jiawei, et al.
Published: (2024)
by: Qiao, Jiawei, et al.
Published: (2024)
E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
by: Chugg, Ben, et al.
Published: (2026)
by: Chugg, Ben, et al.
Published: (2026)
Assessment of Misspecification in CDMs Using a Generalized Information Matrix Test
by: Hosseinpourkhoshkbari, Reyhaneh, et al.
Published: (2024)
by: Hosseinpourkhoshkbari, Reyhaneh, et al.
Published: (2024)
Testing common structure in high-dimensional factor models: change-point and two-sample procedures
by: Düker, Marie-Christine, et al.
Published: (2024)
by: Düker, Marie-Christine, et al.
Published: (2024)
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
by: Guo, F. Richard, et al.
Published: (2023)
by: Guo, F. Richard, et al.
Published: (2023)
Constrained Fiducial Inference for Gaussian Models
by: Flury, Hank, et al.
Published: (2026)
by: Flury, Hank, et al.
Published: (2026)
Covariate balancing for causal inference on categorical and continuous treatments
by: Lee, Seong-ho, et al.
Published: (2021)
by: Lee, Seong-ho, et al.
Published: (2021)
Model-oriented Graph Distances via Partially Ordered Sets
by: Taeb, Armeen, et al.
Published: (2025)
by: Taeb, Armeen, et al.
Published: (2025)
The Poisson tensor completion parametric estimator
by: Dunlavy, Daniel M., et al.
Published: (2025)
by: Dunlavy, Daniel M., et al.
Published: (2025)
On Data Thinning for Model Validation in Small Area Estimation
by: Kawano, Sho, et al.
Published: (2026)
by: Kawano, Sho, et al.
Published: (2026)
Identification strategies for combining an experimental study with external data
by: Ung, Lawson, et al.
Published: (2024)
by: Ung, Lawson, et al.
Published: (2024)
The Bayesian optimal two-stage design for clinical phase II trials based on Bayes factors
by: Kelter, Riko, et al.
Published: (2025)
by: Kelter, Riko, et al.
Published: (2025)
Correcting the Coverage Bias of Quantile Regression
by: Gibbs, Isaac, et al.
Published: (2025)
by: Gibbs, Isaac, et al.
Published: (2025)
Similar Items
-
Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
by: Post, Richard, et al.
Published: (2022) -
Extremes of structural causal models
by: Engelke, Sebastian, et al.
Published: (2025) -
Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
by: Ung, Lawson, et al.
Published: (2024) -
Statistical methods: Basic concepts, interpretations, and cautions
by: Greenland, Sander
Published: (2025) -
Identifiability of causal effects with non-Gaussianity and auxiliary covariates
by: Shuai, Kang, et al.
Published: (2023)