Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics) - Image 1

£45.85

Chapman and Hall/CRC Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)

Name: Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Brand: Chapman and Hall/CRC
Price: 45.85 GBP
Availability: InStock

Software & Graphics

It has never been this cheap. We have no record of a lower price.

£46 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 40 days • 40 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 40 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £46 (20 days, 50.0%)

Price range: £46 - £47

Price levels: 2 different prices over 40 days

Description

Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging inference and prediction. Ideally such inferential tasks should be approached through modelling, which aids in estimation of uncertainties in all conclusions drawn from such data. Unified Bayesian modelling, implemented through user friendly software packages, provides a crucial key to unlocking the full power of these methods for solving challenging practical problems. Key features of the book: • Accessible detailed discussion of a majority of all aspects of Bayesian methods and computations with worked examples, numerical illustrations and exercises • A spatial statistics jargon buster chapter that enables the reader to build up a vocabulary without getting clouded in modeling and technicalities • Computation and modeling illustrations are provided with the help of the dedicated R package bmstdr, allowing the reader to use well-known packages and platforms, such as rstan, INLA, spBayes, spTimer, spTDyn, CARBayes, CARBayesST, etc • Included are R code notes detailing the algorithms used to produce all the tables and figures, with data and code available via an online supplement • Two dedicated chapters discuss practical examples of spatio-temporal modeling of point referenced and areal unit data • Throughout, the emphasis has been on validating models by splitting data into test and training sets following on the philosophy of machine learning and data science This book is designed to make spatio-temporal modeling and analysis accessible and understandable to a wide audience of students and researchers, from mathematicians and statisticians to practitioners in the applied sciences. It presents most of the modeling with the help of R commands written in a purposefully developed R package to facilitate spatio-temporal modeling. It does not compromise on rigour, as it presents the underlying theories of Bayesian inference and computation in standalone chapters, which would be appeal those interested in the theoretical details. By avoiding hard core mathematics and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists.

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032209577
Category: Books > Subjects > Computing & Internet > Software & Graphics
Domain: Amazon UK
Release Date: 27 May 2024
Listed Since: 29 March 2024

Barcode

No barcode data available

Chapman and Hall/CRC Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series)

CRC Press Using R for Bayesian Spatial Health Modeling Book

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)

Current Trends in Bayesian Methodology with Applications

Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics: 858 (Studies in Computational Intelligence, 858)

Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics: 858 (Studies in Computational Intelligence, 858)

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)

Hierarchical Modeling and Analysis for Spatial Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)

Introduction to Statistical Modelling and Inference

Spatial Statistics for Data Science: Theory and Practice with R (Chapman & Hall/CRC Data Science Series)

Contemporary Bayesian Econometrics and Statistics: 537 (Wiley Series in Probability and Statistics)

Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models

Temporal GIS: Advanced Functions for Field-Based Applications

Statistical Modeling With R: a dual frequentist and Bayesian approach for life scientists

Bayesian Applications in Environmental and Ecological Studies with R and Stan (Chapman & Hall/CRC Applied Environmental Statistics)

Bayesian Applications in Environmental and Ecological Studies with R and Stan (Chapman & Hall/CRC Applied Environmental Statistics)

Bringing Bayesian Models to Life (Chapman & Hall/CRC Applied Environmental Statistics)

Bayesian Programming (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Bayesian Analysis of Time Series

Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)

Bayesian Models for Categorical Data (Wiley Series in Probability and Statistics)