Bayesian methodsBayesian / computational
空间自举模拟
空间自举模拟是一种为空间依赖数据设计的重采样技术。通过重采样连续的空间块而不是独立观测值，它可以保留数据的局部自相关结构，并为地理或格点观测值计算的统计量提供有效的抽样变异性估计。
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来源
- Lahiri, S. N. (2003). Resampling Methods for Dependent Data. Springer. ISBN: 978-0387009285
- Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC. ISBN: 978-0412042317
如何引用本页
ScholarGate. (2026, June 3). Spatial Bootstrap Simulation. ScholarGate. https://scholargate.app/zh/bayesian/spatial-bootstrap-simulation
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