Back to Search
Start Over
Technical note: Estimating unbiased transfer-function performances in spatially structured environments
- Source :
- Climate of the Past, Vol 12, Iss 5, Pp 1215-1223 (2016)
- Publication Year :
- 2018
-
Abstract
- Conventional cross validation schemes for assessing transfer-function performance assume that observations are independent. In spatially structured environments this assumption is violated, resulting in over-optimistic estimates of transfer-function performance. H-block cross validation, where all samples within h kilometres of the test samples are omitted, is a method for obtaining unbiased transfer-function performance estimates. In this study, we assess three methods for determining the optimal h. Using simulated data, we find that all three methods result in comparable values of h. Applying the three methods to published transfer functions, we find they yield similar values for h. Some transfer functions perform notably worse when h-block cross validation is used.
- Subjects :
- lcsh:GE1-350
010506 paleontology
Global and Planetary Change
Yield (engineering)
010504 meteorology & atmospheric sciences
lcsh:Environmental protection
Stratigraphy
Paleontology
Technical note
01 natural sciences
Transfer function
Cross-validation
lcsh:Environmental pollution
Simulated data
lcsh:TD172-193.5
Statistics
lcsh:TD169-171.8
lcsh:Environmental sciences
0105 earth and related environmental sciences
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 18149332
- Database :
- OpenAIRE
- Journal :
- Climate of the Past, Vol 12, Iss 5, Pp 1215-1223 (2016)
- Accession number :
- edsair.doi.dedup.....d07dced8da3cc4510078f59dc29d393d