Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, F. Richard, Shah, Rajen D. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Average partial effect estimation using double machine learning
by: Klyne, Harvey, et al.
Published: (2023)
by: Klyne, Harvey, et al.
Published: (2023)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020)
by: Wang, Yuhao, et al.
Published: (2020)
Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
by: Young, Elliot H., et al.
Published: (2023)
by: Young, Elliot H., et al.
Published: (2023)
Cross-validation for change-point regression: pitfalls and solutions
by: Pein, Florian, et al.
Published: (2021)
by: Pein, Florian, et al.
Published: (2021)
Outrigger local polynomial regression
by: Young, Elliot H., et al.
Published: (2026)
by: Young, Elliot H., et al.
Published: (2026)
Selective inference is easier with p-values
by: Sood, Anav
Published: (2024)
by: Sood, Anav
Published: (2024)
Multi-resolution subsampling for large-scale linear classification
by: Chen, Haolin, et al.
Published: (2024)
by: Chen, Haolin, et al.
Published: (2024)
A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified
by: Mahendran, Amalan, et al.
Published: (2025)
by: Mahendran, Amalan, et al.
Published: (2025)
Doubly robust inference with censoring unbiased transformations
by: Sandqvist, Oliver Lunding
Published: (2024)
by: Sandqvist, Oliver Lunding
Published: (2024)
On MCMC mixing for predictive inference under unidentified transformation models
by: Zhong, Chong, et al.
Published: (2024)
by: Zhong, Chong, 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)
The Projected Covariance Measure for assumption-lean variable significance testing
by: Lundborg, Anton Rask, et al.
Published: (2022)
by: Lundborg, Anton Rask, et al.
Published: (2022)
Post-selection inference for e-value based confidence intervals
by: Xu, Ziyu, et al.
Published: (2022)
by: Xu, Ziyu, et al.
Published: (2022)
Mosaic inference on panel data
by: Spector, Asher, et al.
Published: (2025)
by: Spector, Asher, et al.
Published: (2025)
Spatio-temporal point process intensity estimation using zero-deflated subsampling applied to a lightning strikes dataset in France
by: Coeurjolly, Jean-François, et al.
Published: (2024)
by: Coeurjolly, Jean-François, et al.
Published: (2024)
Distribution-free inference with hierarchical data
by: Lee, Yonghoon, et al.
Published: (2023)
by: Lee, Yonghoon, et al.
Published: (2023)
Two-sample inference for sparse functional data
by: Zhang, Chi, et al.
Published: (2023)
by: Zhang, Chi, et al.
Published: (2023)
Differentially private inference framework of Riemannian manifold data
by: Jiang, Yangdi, et al.
Published: (2026)
by: Jiang, Yangdi, et al.
Published: (2026)
Heavy-tailed $p$-value combinations from the perspective of extreme value theory
by: Rho, Yeonwoo
Published: (2024)
by: Rho, Yeonwoo
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)
Improved bounds and inference on optimal regimes
by: Laurendeau, Julien D., et al.
Published: (2024)
by: Laurendeau, Julien D., et al.
Published: (2024)
High-dimensional inference for single-index model with latent factors
by: Shi, Yanmei, et al.
Published: (2025)
by: Shi, Yanmei, et al.
Published: (2025)
Turning the information-sharing dial: efficient inference from different data sources
by: Hector, Emily C., et al.
Published: (2022)
by: Hector, Emily C., et al.
Published: (2022)
Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)
by: Binbin, Li, et al.
Published: (2025)
Post-hoc $α$ Hypothesis Testing and the Post-hoc $p$-value
by: Koning, Nick W.
Published: (2023)
by: Koning, Nick W.
Published: (2023)
Asymptotically well-calibrated Bayesian $p$-value using the Kolmogorov-Smirnov statistic
by: Shen, Yueming, et al.
Published: (2025)
by: Shen, Yueming, et al.
Published: (2025)
Neymanian inference in randomized experiments
by: Chattopadhyay, Ambarish, et al.
Published: (2024)
by: Chattopadhyay, Ambarish, et al.
Published: (2024)
On the existence of powerful p-values and e-values for composite hypotheses
by: Zhang, Zhenyuan, et al.
Published: (2023)
by: Zhang, Zhenyuan, et al.
Published: (2023)
Model-oriented Graph Distances via Partially Ordered Sets
by: Taeb, Armeen, et al.
Published: (2025)
by: Taeb, Armeen, et al.
Published: (2025)
Optimal inference for the mean of random functions
by: Kassi, Omar, et al.
Published: (2025)
by: Kassi, Omar, et al.
Published: (2025)
A new look at fiducial inference
by: Bissiri, Pier Giovanni, et al.
Published: (2025)
by: Bissiri, Pier Giovanni, 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)
On inference for modularity statistics in structured networks
by: Mitra, Anirban, et al.
Published: (2024)
by: Mitra, Anirban, et al.
Published: (2024)
Rank-based concordance for zero-inflated data: New representations, estimators, and sharp bounds
by: Arends, Jasper, et al.
Published: (2025)
by: Arends, Jasper, et al.
Published: (2025)
Class conditional conformal prediction for multiple inputs by p-value aggregation
by: Fermanian, Jean-Baptiste, et al.
Published: (2025)
by: Fermanian, Jean-Baptiste, et al.
Published: (2025)
Post-reduction inference for confidence sets of models
by: Battey, Heather, et al.
Published: (2025)
by: Battey, Heather, et al.
Published: (2025)
Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024)
by: Wang, Yumeng, et al.
Published: (2024)
Simultaneous semiparametric inference for single-index models
by: Tang, Jiajun, et al.
Published: (2024)
by: Tang, Jiajun, et al.
Published: (2024)
Posterior inference via Hill's prediction model
by: Bissiri, Pier Giovanni, et al.
Published: (2026)
by: Bissiri, Pier Giovanni, et al.
Published: (2026)
Similar Items
-
Average partial effect estimation using double machine learning
by: Klyne, Harvey, et al.
Published: (2023) -
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020) -
Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025) -
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
by: Young, Elliot H., et al.
Published: (2023) -
Cross-validation for change-point regression: pitfalls and solutions
by: Pein, Florian, et al.
Published: (2021)