Inference for Structural Breaks in Spatial Models
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Publication:5041341
DOI10.5705/ss.202020.0342OpenAlexW4200491819MaRDI QIDQ5041341
Rong Mao Zhang, Chun Yip Yau, Ngai Hang Chan
Publication date: 13 October 2022
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.5705/ss.202020.0342
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Cites Work
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- Resampling methods for spatial regression models under a class of stochastic designs
- On some global measures of the deviations of density function estimates
- Local Likelihood Tracking of Fault Lines and Boundaries
- Detection of spatial change points in the mean and covariances of multivariate simultaneous autoregressive models
- Testing for Smooth Structural Changes in Time Series Models via Nonparametric Regression
- Estimating and Testing Linear Models with Multiple Structural Changes
- Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
- A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data
- Detecting and Dating Structural Breaks in Functional Data Without Dimension Reduction
- Group LASSO for Structural Break Time Series
- Inference of Trends in Time Series
- Multiple Change-Point Estimation With a Total Variation Penalty
- Nonlinear system theory: Another look at dependence
- Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
- A Spatial Scan Statistic for Survival Data
- Fast Subset Scan for Spatial Pattern Detection
- Structural Break Estimation for Nonstationary Time Series Models
- A central limit theorem for stationary random fields
- Central limit theorems for long range dependent spatial linear processes
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