Saved in:
| Main Author: | Shin, Ha-Young |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.24219 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantiles on global non-positive curvature spaces
by: Shin, Ha-Young, et al.
Published: (2023)
by: Shin, Ha-Young, et al.
Published: (2023)
A data-based notion of quantiles on Hadamard spaces
by: Shin, Ha-Young, et al.
Published: (2025)
by: Shin, Ha-Young, et al.
Published: (2025)
Geometric quantile-based measures of multivariate distributional characteristics
by: Shin, Ha-Young, et al.
Published: (2024)
by: Shin, Ha-Young, et al.
Published: (2024)
When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts
by: Ha, Wooseok, et al.
Published: (2025)
by: Ha, Wooseok, et al.
Published: (2025)
Asymptotic optimality theory of confidence intervals of the mean
by: Deep, Vikas, et al.
Published: (2025)
by: Deep, Vikas, et al.
Published: (2025)
Asymptotic confidence interval for R2 in multiple linear regression
by: Dedecker, J, et al.
Published: (2024)
by: Dedecker, J, et al.
Published: (2024)
Asymptotic theory of rerandomization for survival analysis
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
by: Lin, Kevin Z, et al.
Published: (2024)
by: Lin, Kevin Z, et al.
Published: (2024)
Rényi-infinity constrained sampling with $d^3$ membership queries
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Asymptotic properties of the MLE in distributional regression under random censoring
by: Kremling, Gitte, et al.
Published: (2025)
by: Kremling, Gitte, et al.
Published: (2025)
Asymptotic theory and bias correction for the Wallace--Freeman estimator
by: Makalic, Enes, et al.
Published: (2026)
by: Makalic, Enes, et al.
Published: (2026)
Asymptotic distribution of the global clustering coefficient in a random annulus graph
by: Yuan, Mingao
Published: (2025)
by: Yuan, Mingao
Published: (2025)
Asymptotic theory for nonparametric testing of $k$-monotonicity in discrete distributions
by: Balabdaoui, Fadoua, et al.
Published: (2024)
by: Balabdaoui, Fadoua, et al.
Published: (2024)
Asymptotic properties of a multicolored random reinforced urn model with an application to multi-armed bandits
by: Yang, Li, et al.
Published: (2024)
by: Yang, Li, et al.
Published: (2024)
Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
by: Xie, Fangzheng, et al.
Published: (2025)
by: Xie, Fangzheng, et al.
Published: (2025)
A Thermodynamic Structure of Asymptotic Inference
by: Wong, Willy
Published: (2026)
by: Wong, Willy
Published: (2026)
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)
Asymptotic properties of maximum composite likelihood estimators for max-stable Brown-Resnick random fields over a fixed-domain
by: Chenavier, Nicolas, et al.
Published: (2025)
by: Chenavier, Nicolas, et al.
Published: (2025)
Asymptotics for conformal inference
by: Gazin, Ulysse
Published: (2024)
by: Gazin, Ulysse
Published: (2024)
Asymptotic Normality of the Conditional Value-at-Risk based Pickands Estimator
by: Li, Yizhou, et al.
Published: (2024)
by: Li, Yizhou, et al.
Published: (2024)
Asymptotics of ultra-high-dimensional generalized spiked sample covariance matrix
by: Seo, Wonjun
Published: (2026)
by: Seo, Wonjun
Published: (2026)
Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments
by: Zhu, Ke, et al.
Published: (2021)
by: Zhu, Ke, et al.
Published: (2021)
Asymptotic Equivalence for Nonparametric Regression
by: Grama, Ion, et al.
Published: (2024)
by: Grama, Ion, et al.
Published: (2024)
Asymptotics of predictive distributions driven by sample means and variances
by: Garelli, Samuele, et al.
Published: (2024)
by: Garelli, Samuele, et al.
Published: (2024)
Asymptotic Separability of Diffusion and Jump Components in High-Frequency CIR and CKLS Models
by: Barick, Sourojyoti
Published: (2026)
by: Barick, Sourojyoti
Published: (2026)
The Asymptotics of Wide Remedians
by: Labo, Philip T.
Published: (2024)
by: Labo, Philip T.
Published: (2024)
Asymptotics for power posterior mean estimation
by: Ray, Ruchira, et al.
Published: (2023)
by: Ray, Ruchira, et al.
Published: (2023)
Asymptotically Minimax Robust Likelihood Ratio Test
by: Gül, Gökhan
Published: (2026)
by: Gül, Gökhan
Published: (2026)
Information Geometry and Asymptotic Theory for SMML Estimators
by: Makalic, Enes, et al.
Published: (2026)
by: Makalic, Enes, et al.
Published: (2026)
The High-Dimensional Asymptotics of Principal Component Regression
by: Green, Alden, et al.
Published: (2024)
by: Green, Alden, et al.
Published: (2024)
Asymptotics of constrained $M$-estimation under convexity
by: Brunel, Victor-Emmanuel
Published: (2025)
by: Brunel, Victor-Emmanuel
Published: (2025)
Asymptotics of higher criticism via Gaussian approximation
by: Qiu, Jingkun
Published: (2025)
by: Qiu, Jingkun
Published: (2025)
Asymptotic Equivalence for Nonparametric Generalized Linear Models
by: Grama, Ion, et al.
Published: (2024)
by: Grama, Ion, et al.
Published: (2024)
Local Asymptotic Normality for Multi-Armed Bandits
by: Akker, Ramon van den, et al.
Published: (2025)
by: Akker, Ramon van den, et al.
Published: (2025)
Asymptotic Bayes Optimality for Sparse Count Data
by: Paul, Sayantan, et al.
Published: (2024)
by: Paul, Sayantan, et al.
Published: (2024)
Asymptotics for Reinforced Stochastic Processes on Hierarchical Networks
by: Yang, Li, et al.
Published: (2025)
by: Yang, Li, et al.
Published: (2025)
Asymptotic representations for Spearman's footrule correlation coefficient
by: Xia, Liqi, et al.
Published: (2025)
by: Xia, Liqi, et al.
Published: (2025)
Asymptotic properties of Vecchia approximation for Gaussian processes
by: Kang, Myeongjong, et al.
Published: (2024)
by: Kang, Myeongjong, et al.
Published: (2024)
Asymptotic Inference for Constrained Regression
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
Asymptotics for parametric martingale posteriors
by: Fong, Edwin, et al.
Published: (2024)
by: Fong, Edwin, et al.
Published: (2024)
Similar Items
-
Quantiles on global non-positive curvature spaces
by: Shin, Ha-Young, et al.
Published: (2023) -
A data-based notion of quantiles on Hadamard spaces
by: Shin, Ha-Young, et al.
Published: (2025) -
Geometric quantile-based measures of multivariate distributional characteristics
by: Shin, Ha-Young, et al.
Published: (2024) -
When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts
by: Ha, Wooseok, et al.
Published: (2025) -
Asymptotic optimality theory of confidence intervals of the mean
by: Deep, Vikas, et al.
Published: (2025)