Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

Vecchia's approximate likelihood for Gaussian process parameters depends on how the observations are ordered, which has been cited as a deficiency. This article takes the alternative standpoint that the ordering can be tuned to sharpen the approximations. Indeed, the first part of the article i...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Technometrics Ročník 60; číslo 4; s. 415 - 429
Hlavní autor:	Guinness, Joseph
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Taylor & Francis 01.01.2018 American Society for Quality and the American Statistical Association American Society for Quality
Témata:	Accuracy Approximation Comparative analysis Computation Computer simulation Conditional simulation Divergence Gaussian process Kriging Mathematical models Normal distribution Parallel computation Partial differential equations Permutations Process parameters Sharpening Spatial-temporal data Stochastic models Vecchia's approximation
ISSN:	0040-1706, 1537-2723
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!