Copertina

Online FDR Controlling procedures for statistical SIS Model and its application to COVID19 data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hwang, Seohwa, Park, Junyong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FDR Control via Neural Networks under Covariate-Dependent Symmetric Nulls
di: Kim, Taehyoung, et al.
Pubblicazione: (2025)

FDR controlling procedures with dimension reduction and their application to GWAS with linkage disequilibrium score
di: Jung, Dayeon, et al.
Pubblicazione: (2025)

Two-Stage Multiple Test Procedures Controlling False Discovery Rate with auxiliary variable and their Application to Set4Delta Mutant Data
di: Hwang, Seohwa, et al.
Pubblicazione: (2026)

Adaptive procedures for boundary FDR control
di: Mostow, Sarah, et al.
Pubblicazione: (2026)

Box Thirding: Anytime Best Arm Identification under Insufficient Sampling
di: Hwang, Seohwa, et al.
Pubblicazione: (2026)

FDR Control for Online Anomaly Detection
di: Krönert, Etienne, et al.
Pubblicazione: (2023)

Online multi-layer FDR control
di: Wang, Runqiu, et al.
Pubblicazione: (2025)

SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
di: Kuang, Qi, et al.
Pubblicazione: (2026)

Anytime-valid FDR control with the stopped e-BH procedure
di: Wang, Hongjian, et al.
Pubblicazione: (2025)

Testing composite null hypotheses with high-dimensional dependent data: a computationally scalable FDR-controlling procedure
di: Lyu, Pengfei, et al.
Pubblicazione: (2024)

Bringing closure to FDR control: beating the e-Benjamini-Hochberg procedure
di: Xu, Ziyu, et al.
Pubblicazione: (2025)

Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
di: Wang, Runqiu, et al.
Pubblicazione: (2023)

Robust Bayesian Modeling with Adaptive Posterior FDR Control for Large-Scale Data
di: Hayashi, Yoshiko
Pubblicazione: (2024)

Improving online FDR procedures via online analogs of e-closure and compound e-values
di: Xu, Ziyu, et al.
Pubblicazione: (2026)

Synthetic-Powered Multiple Testing with FDR Control
di: Lee, Yonghoon, et al.
Pubblicazione: (2026)

Sequential Change Point Detection with FDR Control in Reconfigurable Sensor Networks
di: Lee, Seungwon, et al.
Pubblicazione: (2025)

Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
di: Zhang, Yifan, et al.
Pubblicazione: (2026)

Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control
di: Pang, Naiwen, et al.
Pubblicazione: (2024)

Sequential FDR and pFDR control under arbitrary dependence, with application to pharmacovigilance database monitoring
di: Hankin, Michael, et al.
Pubblicazione: (2024)

Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
di: Focardi-Olmi, Lorenzo, et al.
Pubblicazione: (2024)

FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking
di: Machkour, Jasin, et al.
Pubblicazione: (2024)

The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research
di: Machkour, Jasin, et al.
Pubblicazione: (2024)

Conformal novelty detection for replicate point patterns with FDR or FWER control
di: Biscio, Christophe A. N., et al.
Pubblicazione: (2025)

Generalized logistic model for $r$ largest order statistics, with hydrological application
di: Shin, Yire, et al.
Pubblicazione: (2024)

Nullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional Models
di: Wang, Changhu, et al.
Pubblicazione: (2025)

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
di: Cai, Zhanrui, et al.
Pubblicazione: (2023)

Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features
di: Koka, Taulant, et al.
Pubblicazione: (2026)

MMDCP: A Distribution-free Approach to Outlier Detection and Classification with Coverage Guarantees and SCW-FDR Control
di: Lin, Youwu, et al.
Pubblicazione: (2025)

A generalized e-value feature detection method with FDR control at multiple resolutions
di: Yu, Chengyao, et al.
Pubblicazione: (2024)

Learning Time-Varying Correlation Networks with FDR Control via Time-Varying P-values
di: Li, Bufan, et al.
Pubblicazione: (2025)

On the order statistics from the XLindley distribution and associated inference with an application to fatigue data
di: Akhter, Zuber, et al.
Pubblicazione: (2025)

The typicality principle and its implications for statistics and data science
di: Jiang, Yiran, et al.
Pubblicazione: (2025)

Co-Developing Causal Graphs with Domain Experts Guided by Weighted FDR-Adjusted p-values
di: Kling, Eli Y.
Pubblicazione: (2024)

lsirm12pl: An R package for latent space item response modeling
di: Go, Dongyoung, et al.
Pubblicazione: (2022)

ReLU integral probability metric and its applications
di: Park, Yuha, et al.
Pubblicazione: (2025)

Conditional regularized halfspace depth for sparse functional data and its applications
di: Yeon, Hyemin, et al.
Pubblicazione: (2026)

Dynamic factor analysis for sparse and irregular longitudinal data: an application to metabolite measurements in a COVID-19 study
di: Cai, Jiachen, et al.
Pubblicazione: (2024)

Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
di: Shin, Yire, et al.
Pubblicazione: (2020)

Efficient algorithms for the sensitivities of the Pearson correlation coefficient and its statistical significance to online data
di: Harary, Marc
Pubblicazione: (2024)

Leveraging the group structure of hypotheses for more powerful multiple testing with FDR control for the filtered rejection set
di: Bogomolov, Marina, et al.
Pubblicazione: (2025)