A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control
From MaRDI portal
Publication:6636529
DOI10.1080/00401706.2019.1575284WikidataQ128421885 ScholiaQ128421885MaRDI QIDQ6636529
Dongdong Xiang, Xiao-Long Pu, Fugee Tsung, Wen-Dong Li
Publication date: 12 November 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Efficient scalable schemes for monitoring a large number of data streams
- Sequential multi-sensor change-point detection
- Optimal false discovery rate control for dependent data
- On-line control of false discovery rates for multiple datastreams
- Practical bandwidth selection in deconvolution kernel density estimation
- Correction to the paper ``Optimal false discovery rate control for dependent data
- Least angle regression. (With discussion)
- On optimal kernel choice for deconvolution
- Detecting simultaneous changepoints in multiple sequences
- Large-Scale Multiple Testing under Dependence
- Simultaneous Testing of Grouped Hypotheses: Finding Needles in Multiple Haystacks
- Multivariate Statistical Process Control Using LASSO
- Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
- False Discovery Rates for Spatial Signals
- A Smooth Nonparametric Estimate of a Mixing Distribution Using Mixtures of Gaussians
- Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
- Decentralized quickest change detection
- Operating Characteristics and Extensions of the False Discovery Rate Procedure
- Multiple Testing of Composite Null Hypotheses in Heteroscedastic Models
- On-line monitoring data quality of high-dimensional data streams
- Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons
- False Discovery Control in Large-Scale Spatial Multiple Testing
- Large-Scale Simultaneous Hypothesis Testing
- A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams
- Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition
Related Items (10)
An adaptive multivariate EWMA control chart for monitoring missing data ⋮ Dynamic modeling and online monitoring of tensor data streams with application to passenger flow surveillance ⋮ Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams ⋮ Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data ⋮ Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control ⋮ Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection ⋮ Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence ⋮ Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice ⋮ On monitoring high-dimensional processes with individual observations ⋮ Directional false discovery rate control in large-scale multiple comparisons
This page was built for publication: A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control
