Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection
From MaRDI portal
Publication:6631154
DOI10.1080/00401706.2023.2182366MaRDI QIDQ6631154
Wang, Feng Xu, Yanting Li, Unnamed Author, Lianjie Shu
Publication date: 31 October 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Sequential multi-sensor change-point detection
- On-line control of false discovery rates for multiple datastreams
- Criteria for Bayesian model choice with application to variable selection
- The asymptotic variance matrix of the sample correlation matrix
- Consistency of Bayesian procedures for variable selection
- Multivariate Statistical Process Control Using LASSO
- A distribution‐free control chart for monitoring high‐dimensional processes based on interpoint distances
- Bayesian Model Selection in High-Dimensional Settings
- On-line monitoring data quality of high-dimensional data streams
- 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
- A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control
This page was built for publication: Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection