Authors: Stephen P. Smith
A two-dimensional lattice model is described that is able to treat border effects in a coherent way. The model belongs to a class of non-parametric regression models, coming with three smoothness parameters that are estimated from cross validation. The techniques use the K-matrix, which is a typically large and sparse matrix that is also symmetric and indefinite. The K-matrix is subjected to factorization, and algorithmic differentiation, using optimized software, thereby permitting estimation of the smoothness parameters and estimation of the two-dimensional surface. The techniques are demonstrated on real data.
Comments: 16 Pages.
[v1] 2018-12-03 23:59:55 (removed)
[v2] 2018-12-06 23:22:48 (removed)
[v3] 2018-12-08 01:40:57
Unique-IP document downloads: 15 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.