Guardado en:
| Autores principales: | Lee, Seungwon, Chen, Yunxiao, Li, Xiaoou |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2504.06526 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
por: Wallin, Gabriel, et al.
Publicado: (2024)
por: Wallin, Gabriel, et al.
Publicado: (2024)
A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
por: Zhang, Haoran, et al.
Publicado: (2019)
por: Zhang, Haoran, et al.
Publicado: (2019)
Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation
por: Li, Xiaoou, et al.
Publicado: (2024)
por: Li, Xiaoou, et al.
Publicado: (2024)
FDR Control for Online Anomaly Detection
por: Krönert, Etienne, et al.
Publicado: (2023)
por: Krönert, Etienne, et al.
Publicado: (2023)
Synthetic-Powered Multiple Testing with FDR Control
por: Lee, Yonghoon, et al.
Publicado: (2026)
por: Lee, Yonghoon, et al.
Publicado: (2026)
Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features
por: Koka, Taulant, et al.
Publicado: (2026)
por: Koka, Taulant, et al.
Publicado: (2026)
Sequential FDR and pFDR control under arbitrary dependence, with application to pharmacovigilance database monitoring
por: Hankin, Michael, et al.
Publicado: (2024)
por: Hankin, Michael, et al.
Publicado: (2024)
A Note on Ising Network Analysis with Missing Data
por: Zhang, Siliang, et al.
Publicado: (2023)
por: Zhang, Siliang, et al.
Publicado: (2023)
Change Point Detection on A Separable Model for Dynamic Networks
por: Kei, Yik Lun, et al.
Publicado: (2023)
por: Kei, Yik Lun, et al.
Publicado: (2023)
Sequential Change Point Detection in High-dimensional Vector Auto-regressive Models
por: Tian, Yuhan, et al.
Publicado: (2024)
por: Tian, Yuhan, et al.
Publicado: (2024)
Transfer Learning with Network Embeddings under Structured Missingness
por: Li, Mengyan, et al.
Publicado: (2026)
por: Li, Mengyan, et al.
Publicado: (2026)
Learning Time-Varying Correlation Networks with FDR Control via Time-Varying P-values
por: Li, Bufan, et al.
Publicado: (2025)
por: Li, Bufan, et al.
Publicado: (2025)
FDR Control via Neural Networks under Covariate-Dependent Symmetric Nulls
por: Kim, Taehyoung, et al.
Publicado: (2025)
por: Kim, Taehyoung, et al.
Publicado: (2025)
SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
por: Kuang, Qi, et al.
Publicado: (2026)
por: Kuang, Qi, et al.
Publicado: (2026)
Determining number of factors under stability considerations
por: Lee, Sze Ming, et al.
Publicado: (2024)
por: Lee, Sze Ming, et al.
Publicado: (2024)
Online multi-layer FDR control
por: Wang, Runqiu, et al.
Publicado: (2025)
por: Wang, Runqiu, et al.
Publicado: (2025)
Adaptive procedures for boundary FDR control
por: Mostow, Sarah, et al.
Publicado: (2026)
por: Mostow, Sarah, et al.
Publicado: (2026)
Robust Bayesian Modeling with Adaptive Posterior FDR Control for Large-Scale Data
por: Hayashi, Yoshiko
Publicado: (2024)
por: Hayashi, Yoshiko
Publicado: (2024)
Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control
por: Pang, Naiwen, et al.
Publicado: (2024)
por: Pang, Naiwen, et al.
Publicado: (2024)
Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
por: Zhang, Yifan, et al.
Publicado: (2026)
por: Zhang, Yifan, et al.
Publicado: (2026)
KAP-CPD: Kernel Aggregation for Change-Point Detection in Dynamic Networks
por: Sun, Mingxuan, et al.
Publicado: (2026)
por: Sun, Mingxuan, et al.
Publicado: (2026)
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
por: Chen, Yunxiao
Publicado: (2019)
por: Chen, Yunxiao
Publicado: (2019)
MMDCP: A Distribution-free Approach to Outlier Detection and Classification with Coverage Guarantees and SCW-FDR Control
por: Lin, Youwu, et al.
Publicado: (2025)
por: Lin, Youwu, et al.
Publicado: (2025)
Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
por: Cai, Zhanrui, et al.
Publicado: (2023)
por: Cai, Zhanrui, et al.
Publicado: (2023)
FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking
por: Machkour, Jasin, et al.
Publicado: (2024)
por: Machkour, Jasin, et al.
Publicado: (2024)
Online FDR Controlling procedures for statistical SIS Model and its application to COVID19 data
por: Hwang, Seohwa, et al.
Publicado: (2026)
por: Hwang, Seohwa, et al.
Publicado: (2026)
A Latent Variable Approach to Learning High-dimensional Multivariate longitudinal Data
por: Lee, Sze Ming, et al.
Publicado: (2024)
por: Lee, Sze Ming, et al.
Publicado: (2024)
Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
por: Focardi-Olmi, Lorenzo, et al.
Publicado: (2024)
por: Focardi-Olmi, Lorenzo, et al.
Publicado: (2024)
Rank Aggregation under Weak Stochastic Transitivity via a Maximum Score Estimator
por: Zhang, Haoran, et al.
Publicado: (2025)
por: Zhang, Haoran, et al.
Publicado: (2025)
Sequential Change-point Detection for Binomial Time Series
por: Liu, Yajun, et al.
Publicado: (2024)
por: Liu, Yajun, et al.
Publicado: (2024)
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research
por: Machkour, Jasin, et al.
Publicado: (2024)
por: Machkour, Jasin, et al.
Publicado: (2024)
fastcpd: Fast Change Point Detection in R
por: Li, Xingchi, et al.
Publicado: (2024)
por: Li, Xingchi, et al.
Publicado: (2024)
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
por: Zhang, Siliang, et al.
Publicado: (2020)
por: Zhang, Siliang, et al.
Publicado: (2020)
Conformal novelty detection for replicate point patterns with FDR or FWER control
por: Biscio, Christophe A. N., et al.
Publicado: (2025)
por: Biscio, Christophe A. N., et al.
Publicado: (2025)
Causal Change Point Detection and Localization
por: Huang, Shimeng, et al.
Publicado: (2024)
por: Huang, Shimeng, et al.
Publicado: (2024)
Change Point Detection in Dynamic Graphs with Decoder-only Latent Space Model
por: Kei, Yik Lun, et al.
Publicado: (2024)
por: Kei, Yik Lun, et al.
Publicado: (2024)
Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
por: Lee, Jonghyeok, et al.
Publicado: (2025)
por: Lee, Jonghyeok, et al.
Publicado: (2025)
Random Interval Distillation for Detection of Change-Points in Markov Chain Bernoulli Networks
por: Fan, Xinyuan, et al.
Publicado: (2024)
por: Fan, Xinyuan, et al.
Publicado: (2024)
Change Point Detection in Pairwise Comparison Data with Covariates
por: Han, Yi, et al.
Publicado: (2024)
por: Han, Yi, et al.
Publicado: (2024)
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
por: Liu, Suqi, et al.
Publicado: (2024)
por: Liu, Suqi, et al.
Publicado: (2024)
Ejemplares similares
-
A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
por: Wallin, Gabriel, et al.
Publicado: (2024) -
A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
por: Zhang, Haoran, et al.
Publicado: (2019) -
Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation
por: Li, Xiaoou, et al.
Publicado: (2024) -
FDR Control for Online Anomaly Detection
por: Krönert, Etienne, et al.
Publicado: (2023) -
Synthetic-Powered Multiple Testing with FDR Control
por: Lee, Yonghoon, et al.
Publicado: (2026)