Method evidence record
Block Bootstrap
Block bootstrap is a resampling method for dependent, autocorrelated time-series data: instead of resampling single observations, it resamples whole blocks of consecutive observations so the serial-correlation structure is preserved. The moving block variant was introduced by Künsch (1989) and the stationary variant by Politis and Romano (1994).
Source record
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Block Bootstrap (Moving Block and Stationary Bootstrap)
Taxonomic method record · regression-model / statistics
- Künsch, H. R. (1989). The Jackknife and the Bootstrap for General Stationary Observations. Annals of Statistics, 17(3), 1217-1241. · DOI 10.1214/aos/1176347265
- Politis, D. N., & Romano, J. P. (1994). The Stationary Bootstrap. Journal of the American Statistical Association, 89(428), 1303-1313. · DOI 10.1080/01621459.1994.10476870
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