Data-driven selection of the number of change-points via error rate control
From MaRDI portal
Publication:6110029
DOI10.1080/01621459.2021.1999820OpenAlexW3210954946MaRDI QIDQ6110029
Hui Chen, Fang Yao, Haojie Ren, Changliang Zou
Publication date: 4 July 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01621459.2021.1999820
symmetryuniform convergenceempirical distributionfalse discovery ratesample-splittingmultiple change-point model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Two-stage data segmentation permitting multiscale change points, heavy tails and dependence
- Consistent selection of the number of change-points via sample-splitting
- FDR-control in multiscale change-point segmentation
- Using penalized contrasts for the change-point problem
- Phase transition and regularized bootstrap in large-scale \(t\)-tests with false discovery rate control
- Wild binary segmentation for multiple change-point detection
- The screening and ranking algorithm to detect DNA copy number variations
- Slope heuristics: overview and implementation
- High-dimensional variable selection
- Controlling the false discovery rate via knockoffs
- Uniform change point tests in high dimension
- Estimating the number of change-points via Schwarz' criterion
- Estimating the dimension of a model
- Estimation of multiple-regime regressions with least absolutes deviation
- Multiple change-point detection: a selective overview
- Change-point detection in multinomial data with a large number of categories
- Detecting possibly frequent change-points: wild binary segmentation 2 and steepest-drop model selection -- rejoinder
- A computationally efficient nonparametric approach for changepoint detection
- On false discovery control under dependence
- Nonparametric maximum likelihood approach to multiple change-point problems
- Structural breaks in time series
- Multiple change-point detection via a screening and ranking algorithm
- False discovery rate for scanning statistics
- Changepoint estimation: another look at multiple testing problems
- Multiple changepoint fitting via quasilikelihood, with application to DNA sequence segmentation
- Estimating and Testing Linear Models with Multiple Structural Changes
- Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
- Optimal Detection of Changepoints With a Linear Computational Cost
- A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
- Optimal Nonparametric Multivariate Change Point Detection and Localization
- Narrowest-Over-Threshold Detection of Multiple Change Points and Change-Point-Like Features
- Multiple Change-Point Estimation With a Total Variation Penalty
- Bayesian Analysis of Isochores
- A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data
- Multiscale Change Point Inference
- Seeded binary segmentation: a general methodology for fast and optimal changepoint detection
- Gaussian model selection
This page was built for publication: Data-driven selection of the number of change-points via error rate control