Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA - Info and Reading Options
By Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi and Daniela Castro-Camilo
"Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA" was published by Taylor & Francis Group in 2018 - Boca Raton, it has 284 pages and the language of the book is English.
“Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA” Metadata:
- Title: ➤ Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
- Authors: Elias T. KrainskiVirgilio Gómez-RubioHaakon BakkaAmanda LenziDaniela Castro-Camilo
- Language: English
- Number of Pages: 284
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Boca Raton
“Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA” Subjects and Themes:
- Subjects: ➤ Mathematical models - Stochastic processes - Laplace transformation - Programming languages (electronic computers) - Differential equations - Stochastic differential equations - R (Computer program language) - Theoretical Models - Stochastic Processes - Équations différentielles stochastiques - Modèles mathématiques - Processus stochastiques - Transformation de Laplace - R (Langage de programmation) - MATHEMATICS - Applied - Probability & Statistics - General
Edition Identifiers:
- The Open Library ID: OL33656249M - OL25216998W
- Online Computer Library Center (OCLC) ID: 1084727051
- Library of Congress Control Number (LCCN): 2020693187
- ISBN-13: 9780429031892 - 9780429628214
- All ISBNs: 9780429031892 - 9780429628214
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