عنوان

Advanced spatial modeling with stochastic partial differential equations using R and INLA /

شابک

0429031890

شابک

0429626576

شابک

0429628218

شابک

0429629850

شابک

9780429031892

شابک

9780429626579

شابک

9780429628214

شابک

9780429629853

شابک اشتباه

1138369853

شابک اشتباه

9781138369856

عنوان اصلي

Advanced spatial modeling with stochastic partial differential equations using R and INLA /

نام عام مواد

[Book]

نام نخستين پديدآور

Elias Krainski [and seven others].

محل نشرو پخش و غیره

Boca Raton, FL :

نام ناشر، پخش کننده و غيره

CRC Press, Taylor & Francis Group,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource (xiii, 283 pages)

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matrn covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and real applications. This book has been authored by leading experts in spatial statistics, including the main developers of the INLA and SPDE methodologies and the R-INLA package. It also includes a wide range of applications: * Spatial and spatio-temporal models for continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio-temporal models * Measurement error spatial models * Modeling preferential sampling * Spatial and spatio-temporal models with physical barriers * Survival analysis with spatial effects * Dynamic space-time regression * Spatial and spatio-temporal models for extremes * Hurdle models with spatial effects * Penalized Complexity priors for spatial models All the examples in the book are fully reproducible. Further information about this book, as well as the R code and datasets used, is available from the book website at http://www.r-inla.org/spde-book. The tools described in this book will be useful to researchers in many fields such as biostatistics, spatial statistics, environmental sciences, epidemiology, ecology and others. Graduate and Ph.D. students will also find this book and associated files a valuable resource to learn INLA and the SPDE approach for spatial modeling.

منبع سفارش / آدرس اشتراک

Taylor & Francis

شماره انبار

9780429031892

عنوان

Advanced spatial modeling with stochastic partial differential equations using R and INLA.

شماره استاندارد بين المللي کتاب و موسيقي

9781138369856

موضوع مستند نشده

Laplace transformation.

موضوع مستند نشده

Mathematical models.

موضوع مستند نشده

R (Computer program language)

موضوع مستند نشده

Stochastic differential equations.

موضوع مستند نشده

Stochastic processes.

موضوع مستند نشده

Laplace transformation.

موضوع مستند نشده

Mathematical models.

موضوع مستند نشده

MATHEMATICS / Applied

موضوع مستند نشده

MATHEMATICS / Probability & Statistics / General

موضوع مستند نشده

R (Computer program language)

موضوع مستند نشده

Stochastic differential equations.

موضوع مستند نشده

Stochastic processes.

موضوع مستند نشده

MAT-- 003000

موضوع مستند نشده

MAT-- 029000

موضوع مستند نشده

PBT

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Krainski, E. T., (Elias T.)

تاريخ عمليات

20200822162305.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y