BOOTSTRAP INFERENCE FOR MULTIPLE CHANGE-POINTS IN TIME SERIES
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Publication:5104480
DOI10.1017/S0266466621000293OpenAlexW3176332994MaRDI QIDQ5104480
Wai Leong Ng, Shenyi Pan, Chun Yip Yau
Publication date: 12 September 2022
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466621000293
Cites Work
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- A MOSUM procedure for the estimation of multiple random change points
- The multiple filter test for change point detection in time series
- Approximating the distribution of the maximum likelihood estimate of the change-point in a sequence of independent random variables
- The asymptotic behavior of some nonparametric change-point estimators
- Effect of dependence on statistics for determination of change
- New distribution theory for the estimation of structural break point in mean
- Large deviations for martingales.
- Consistency of minimum description length model selection for piecewise stationary time series models
- Detecting abrupt changes in a piecewise locally stationary time series
- Least‐squares Estimation of an Unknown Number of Shifts in a Time Series
- ESTIMATION OF CHANGE-POINTS IN LINEAR AND NONLINEAR TIME SERIES MODELS
- Multiscale and multilevel technique for consistent segmentation of nonstationary time series
- Break Detection for a Class of Nonlinear Time Series Models
- Bootstrapping confidence intervals for the change-point of time series
- Testing and estimating change-points in time series
- Change-point problem and bootstrap
- The minimum of an additive process with applications to signal estimation and storage theory
- Testing For and Dating Common Breaks in Multivariate Time Series
- Automatic Statistical Analysis of Bivariate Nonstationary Time Series
- Multiple changepoint fitting via quasilikelihood, with application to DNA sequence segmentation
- Optimal Detection of Changepoints With a Linear Computational Cost
- Changepoint Detection in the Presence of Outliers
- Detection of Multiple Structural Breaks in Multivariate Time Series
- Inference for Multiple Change Points in Time Series via Likelihood Ratio Scan Statistics
- Asymptotic Properties of Non-Linear Least Squares Estimators
- Inference about the change-point in a sequence of random variables
- Multiple-Change-Point Detection for Auto-Regressive Conditional Heteroscedastic Processes
- Structural Break Estimation for Nonstationary Time Series Models
- In-fill asymptotic theory for structural break point in autoregressions
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