Сбор средств 15 Сентября 2024 – 1 Октября 2024 О сборе средств

Advanced spatial modeling with stochastic partial...

Main
Mathematics
Advanced spatial modeling with...

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

Krainski, Elias T

0 / 0

Насколько вам понравилась эта книга?

Какого качества скаченный файл?

Скачайте книгу, чтобы оценить ее качество

Какого качества скаченные файлы?

Категории:

Год:

2019

Издательство:

CRC Press

Язык:

english

Страницы:

283

ISBN 10:

1138369853

ISBN 13:

9781138369856

Файл:

PDF, 40.84 MB

IPFS:

,

english, 2019

Читать Онлайн

Выполняется конвертация в

Конвертация в не удалась

Вас может заинтересовать

缠中说禅 — 缠中说禅1：不会赢钱的经济人，只是废人

Paula Moraga — Spatial Statistics for Data Science: Theory and Practice with R

William A Link, Richard J Barker — Bayesian Inference: with ecological applications

Havard Rue, Leonhard Held — Gaussian Markov random fields: theory and applications

Chau, Kam-Tim — Applications of differential equations in engineering and mechanics

Sujit Kumar Sahu — Bayesian Modelling of Spatio-Temporal Data with R

Paula Moraga — Geospatial Health Data-Modeling and Visualization with R-INLA and Shiny

Peter Kotelenez (auth.) — Stochastic ordinary and stochastic partial differential equations: transition from microscopic to macroscopic equations

Stefano M. Iacus (auth.) — Simulation and inference for stochastic differential equations: With R examples

Janine Illian, Antti Penttinen, Helga Stoyan, Dietrich Stoyan — Statistical Analysis and Modelling of Spatial Point Patterns (Statistics in Practice)

Andrew B. Lawson — Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Graham W. Griffiths — Numerical Analysis Using R: Solutions to ODEs and PDEs

Eugene Demidenko — Mixed models : theory and applications with R

John C. Nash — Nonlinear Parameter Optimization Using R Tools

Carlos A. Braumann — Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

Olga Korosteleva — Advanced Regression Models with SAS and R

Oscar Perpinan Lamigueiro — Displaying Time Series, Spatial, and Space-Time Data with R

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley — Multilevel Modeling Using R (Second Edition)

Christopher Wikle; Andrew Zammit Mangion; Noel Cressie — Spatio-Temporal Statistics With R

Faraway, Julian James; Wang, Xiaofeng; Yue, Yu — Bayesian Regression Modeling with Inla

Banerjee, Sudipto; Carlin, Bradley P.; Gelfand, Alan E — Hierarchical Modeling and Analysis for Spatial Data, Second Edition

Michael Lawrence; John Verzani — Programming graphical user interfaces in R

Chow, Pao Liu — Stochastic Partial Differential Equations

Robert P. Haining, Guangquan Li — Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

Dumont, Morgane; Ellison, Richard; Lovelace, Robin; Založnik, Maja — Spatial microsimulation with R

Xiaofeng Wang, Yu Ryan Yue, Julian Faraway — Bayesian Regression Modeling with INLA

Wunsch, A. David — A Matlab companion to complex variables

Arnulf Jentzen and Peter Kloeden — Taylor Approximations for Stochastic Partial Differential Equations

Wei Liu, Michael Röckner — Stochastic Partial Differential Equations: An Introduction

Sergey V. Lototsky, Boris L. Rozovsky (auth.) — Stochastic Partial Differential Equations

McElreath, Richard; — Statistical Rethinking: A Bayesian Course with Examples in R and STAN

Franzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt — Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

George E. P. Box, George C. Tiao — Bayesian Inference in Statistical Analysis (Wiley Classics Library)

Richard Mcelreath — Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)

Broemeling (Author) — Bayesian Analysis of Linear Models

Nalini Ravishanker, Balaji Raman, Refik Soyer — Dynamic Time Series Models using R-INLA: An Applied Perspective

Martin, Osvaldo A., Kumar, Ravin, Lao, Junpeng — Bayesian Modeling and Computation in Python

Andrew B. Lawson (Author) — Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition

Peter D. Congdon (Author) — Bayesian Hierarchical Models-With Applications Using R, Second Edition

Lauri Mehtatalo (Author); Juha Lappi (Author) — Biometry for Forestry and Environmental Data-With Examples in R

George E. P. Box, George C. Tiao — Bayesian Inference in Statistical Analysis

Brady T. West;Kathleen B. Welch;Andrzej T Galecki; — Linear Mixed Models

Ключевые слова