Consistent change-point detection with kernels
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Publication:1711585
DOI10.1214/18-EJS1513zbMath1409.62172arXiv1612.04740OpenAlexW2563493802WikidataQ128722366 ScholiaQ128722366MaRDI QIDQ1711585
Publication date: 18 January 2019
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1612.04740
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20)
Related Items
Optimal multiple change-point detection for high-dimensional data, Rank-based multiple change-point detection, Generalized multiple change-point detection in the structure of multivariate, possibly high-dimensional, data sequences, Optimal change-point detection and localization, Asymptotic properties of \(M\)-estimators based on estimating equations and censored data in semi-parametric models with multiple change points, Fréchet change-point detection, A Kernel Multiple Change-point Algorithm via Model Selection, Localising change points in piecewise polynomials of general degrees, Optimal nonparametric change point analysis
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Cites Work
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- A Kernel Multiple Change-point Algorithm via Model Selection
- Detecting multiple change-points in the mean of Gaussian process by model selection
- Using penalized contrasts for the change-point problem
- Nonparametric stochastic approximation with large step-sizes
- Wild binary segmentation for multiple change-point detection
- Probability in Banach spaces. Isoperimetry and processes
- Segmentation of the mean of heteroscedastic data via cross-validation
- Minimax theory of image reconstruction
- Slope heuristics: overview and implementation
- Consistencies and rates of convergence of jump-penalized least squares estimators
- Multiscale local change point detection with applications to value-at-risk
- Nonparametric change-point estimation
- Estimating the number of change-points via Schwarz' criterion
- The Hájek-Rényi inequality for Banach space valued martingales and the \(p\) smoothness of Banach spaces
- A new algorithm for fixed design regression and denoising
- New efficient algorithms for multiple change-point detection with reproducing kernels
- Using labeled data to evaluate change detectors in a multivariate streaming environment
- Support consistency of direct sparse-change learning in Markov networks
- Detecting gradual changes in locally stationary processes
- Minimal penalties for Gaussian model selection
- Detection of multiple change-points in multivariate time series
- Adapting to unknown sparsity by controlling the false discovery rate
- Nonparametric maximum likelihood approach to multiple change-point problems
- Least‐squares Estimation of an Unknown Number of Shifts in a Time Series
- Generalization of an inequality of Kolmogorov
- A test for a change in a parameter occurring at an unknown point
- On Grouping for Maximum Homogeneity
- On the approximation of curves by line segments using dynamic programming
- On Minimax Estimation of a Discontinuous Signal
- Estimating and Testing Linear Models with Multiple Structural Changes
- Asymptotically Optimal Methods of Early Change-Point Detection
- Greedy Kernel Change-Point Detection
- An online kernel change detection algorithm
- Parsimonious Segmentation of Time Series by Potts Models
- Sequential block bootstrap in a Hilbert space with application to change point analysis
- Theory of Reproducing Kernels
- Gaussian model selection