Surrogate modeling for probability distribution estimation:uniform or adaptive design?
Fuente:
arXiv
Saved in:
| Main Authors: | Su, Maijia, Wang, Ziqi, Bursi, Oreste Salvatore, Broccardo, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tiny but uniform improvements of adaptive BH procedures via compound e-values
by: Ignatiadis, Nikolaos, et al.
Published: (2026)
by: Ignatiadis, Nikolaos, et al.
Published: (2026)
Semiparametric adaptive estimation under informative sampling
by: Morikawa, Kosuke, et al.
Published: (2022)
by: Morikawa, Kosuke, et al.
Published: (2022)
Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
by: Waudby-Smith, Ian, et al.
Published: (2023)
by: Waudby-Smith, Ian, et al.
Published: (2023)
Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments
by: S, Anjana, et al.
Published: (2024)
by: S, Anjana, et al.
Published: (2024)
Data integration of non-probability and probability samples with predictive mean matching
by: Chlebicki, Piotr, et al.
Published: (2024)
by: Chlebicki, Piotr, et al.
Published: (2024)
Optimal estimation of the null distribution in large-scale inference
by: Kotekal, Subhodh, et al.
Published: (2024)
by: Kotekal, Subhodh, et al.
Published: (2024)
Optimal estimation in private distributed functional data analysis
by: Xue, Gengyu, et al.
Published: (2024)
by: Xue, Gengyu, et al.
Published: (2024)
On unbiased estimators for functions of the rate parameter of the exponential distribution
by: Vila, Roberto, et al.
Published: (2025)
by: Vila, Roberto, et al.
Published: (2025)
Sampling depth trade-off in function estimation under a two-level design
by: Horiguchi, Akira, et al.
Published: (2023)
by: Horiguchi, Akira, et al.
Published: (2023)
Optimal estimation for regression discontinuity design with binary outcomes
by: Ishihara, Takuya, et al.
Published: (2025)
by: Ishihara, Takuya, 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)
Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes
by: Mozer, Reagan, et al.
Published: (2026)
by: Mozer, Reagan, et al.
Published: (2026)
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)
A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
by: Sogan, Roland B., et al.
Published: (2026)
by: Sogan, Roland B., et al.
Published: (2026)
When is it worthwhile to jackknife? Breaking the quadratic barrier for Z-estimators
by: Lin, Licong, et al.
Published: (2024)
by: Lin, Licong, et al.
Published: (2024)
Covariance scanning for adaptively optimal change point detection in high-dimensional linear models
by: Cho, Haeran, et al.
Published: (2025)
by: Cho, Haeran, et al.
Published: (2025)
Surrogate-Assisted Targeted Learning for Nested Bridge Functionals under Administrative Censoring
by: Li, Lin, et al.
Published: (2026)
by: Li, Lin, et al.
Published: (2026)
Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)
by: Maestrini, Luca, et al.
Published: (2024)
Representation Learning with Blockwise Missingness and Signal Heterogeneity
by: Liu, Ziqi, et al.
Published: (2026)
by: Liu, Ziqi, et al.
Published: (2026)
Testing for changes in the error distribution in functional linear models
by: Neumeyer, Natalie, et al.
Published: (2024)
by: Neumeyer, Natalie, et al.
Published: (2024)
Estimation and convergence rates in the distributional single index model
by: Balabdaoui, Fadoua, et al.
Published: (2023)
by: Balabdaoui, Fadoua, et al.
Published: (2023)
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)
by: Peng, Jingfu, et al.
Published: (2025)
Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?
by: Shen, Yandi, et al.
Published: (2022)
by: Shen, Yandi, et al.
Published: (2022)
Unifying design-based and model-based sampling theory -- some suggestions to clear the cobwebs
by: O'Neill, Ben
Published: (2024)
by: O'Neill, Ben
Published: (2024)
M-estimation with e-statistics
by: Wang, Hongjian, et al.
Published: (2026)
by: Wang, Hongjian, et al.
Published: (2026)
A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023)
by: Han, Ruijian, et al.
Published: (2023)
Dimension estimation in PCA model using high-dimensional data augmentation
by: Radojicic, Una, et al.
Published: (2025)
by: Radojicic, Una, et al.
Published: (2025)
Identification enhanced generalised linear model estimation with nonignorable missing outcomes
by: Beppu, Kenji, et al.
Published: (2022)
by: Beppu, Kenji, et al.
Published: (2022)
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)
Copula-based models for correlated circular data
by: Lagona, Francesco, et al.
Published: (2024)
by: Lagona, Francesco, et al.
Published: (2024)
Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response
by: Greenshtein, Eitan
Published: (2024)
by: Greenshtein, Eitan
Published: (2024)
Robust estimations from distribution structures: I. Mean
by: Tuobang, Li
Published: (2024)
by: Tuobang, Li
Published: (2024)
Edge differentially private estimation in the $β$-model via jittering and method of moments
by: Chang, Jinyuan, et al.
Published: (2021)
by: Chang, Jinyuan, et al.
Published: (2021)
Comparing two spatial variables with the probability of agreement
by: Acosta, Jonathan, et al.
Published: (2022)
by: Acosta, Jonathan, et al.
Published: (2022)
On a new PGDUS transformed model using Inverse Weibull distribution
by: Gauthami, P, et al.
Published: (2025)
by: Gauthami, P, et al.
Published: (2025)
Interaction tests with covariate-adaptive randomization
by: Zhang, Likun, et al.
Published: (2023)
by: Zhang, Likun, et al.
Published: (2023)
Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
by: Armillotta, Mirko, et al.
Published: (2023)
by: Armillotta, Mirko, et al.
Published: (2023)
Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
by: Armillotta, Mirko
Published: (2023)
by: Armillotta, Mirko
Published: (2023)
The oracle property of the generalized outcome adaptive lasso
by: Baldé, Ismaila
Published: (2023)
by: Baldé, Ismaila
Published: (2023)
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)
Similar Items
-
Tiny but uniform improvements of adaptive BH procedures via compound e-values
by: Ignatiadis, Nikolaos, et al.
Published: (2026) -
Semiparametric adaptive estimation under informative sampling
by: Morikawa, Kosuke, et al.
Published: (2022) -
Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
by: Waudby-Smith, Ian, et al.
Published: (2023) -
Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments
by: S, Anjana, et al.
Published: (2024) -
Data integration of non-probability and probability samples with predictive mean matching
by: Chlebicki, Piotr, et al.
Published: (2024)