An MDL approach to the climate segmentation problem
DOI10.1214/09-AOAS289zbMath1189.62180arXiv1010.1397OpenAlexW1968618986MaRDI QIDQ977634
Qiqi Lu, Thomas C. M. Lee, Robert B. Lund
Publication date: 23 June 2010
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1010.1397
changepointstime seriesgenetic algorithmminimum description lengthlevel shiftsperiodic autoregression
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Statistical aspects of information-theoretic topics (62B10)
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Cites Work
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- On periodic and multiple autoregressions
- On discriminating between long-range dependence and changes in mean
- PARSIMONIOUS PERIODIC TIME SERIES MODELING
- Detection and Correction of Artificial Shifts in Climate Series
- An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields
- Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance
- Testing and Locating Variance Changepoints with Application to Stock Prices
- Model Selection and the Principle of Minimum Description Length
- A Minimum Description Length-Based Image Segmentation Procedure, and Its Comparison with a Cross-Validation-Based Segmentation Procedure
- Computation and Characterization of Autocorrelations and Partial Autocorrelations in Periodic ARMA Models
- An Introduction to Coding Theory and the Two-Part Minimum Description Length Principle
- Simple linear regression with multiple level shifts
- Structural Break Estimation for Nonstationary Time Series Models
- Application of Least Squares Regression to Relationships Containing Auto- Correlated Error Terms
- Statistical methods for DNA sequence segmentation