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Notes
Here we present a number of notes related to BayesicFitting.
To quote John Skilling on one of the Maxent conferences: "All these things are probably known to people who know these things."
Well.. It aint me, babe.
Splines.
The splines note presents details on the construction and algorithm of splines in
- SplinesModel simple, fast and dense
- BSplinesModel recursive de Boor algoritme, slow
- BasicSplineModel non-recursive de Boor, faster
- SplinesDynamicModel a BasicSplinesModel which is
- Dynamic in the number of knots
- Modifiable in the position of the knots
Data Quality.
The quality note discusses the merits of defining data quality in terms of accuracy versus weights.
BoundingBox
A look at bounding boxes in higher dimensions.
Sampling.
Sampling from the Prior can lead in some cases to problems.