£74.99

This is the most expensive it has ever been. Walk away.

£75 today · previous high £75 · all-time low £70

Springer Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences (Textbooks in Statistical Science)

Name: Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences (Textbooks in Statistical Science)
Brand: Springer
Price: 74.99 GBP
Availability: InStock

Medical & Healthcare Practitioners

Price Distribution

Price distribution over 55 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £75 (54 days, 98.2%)

Price range: £70 - £75

Price levels: 2 different prices over 55 days

Description

This book gives an overview of rigorous risk analysis, linking it to Bayesian decision theory and demonstrating practical implementations. Risk analysis is the final step before decision-making. But what is risk, and how do we quantify the key components of risk? This book aims to provide clear definitions, formulas and algorithms. Risk is the expectation of loss due to a hazard. It is high when both hazard probability and system vulnerability are high. We show how these terms should be defined to allow a formal decomposition of risk as the mathematical product of hazard probability and system vulnerability. From these definitions we derive a comprehensive theory of risk analysis and its links with Bayesian decision theory (BDT). We present formulas for risk and its components, and for quantifying the uncertainties associated with these estimates. We also show how the formulas for PRA and BDT can be implemented in R. All the computer code used in this book, including that for producing tables and figures, can be downloaded from the book's public GitHub repository. This book is intended for researchers and decision-makers with an interest in rigorous risk analysis. Some familiarity with probability theory will make the book easier to digest, but it includes simple introductions to both probabilistic risk analysis and Bayesian decision theory. Jargon is avoided as much as possible, and all terms are defined within the book itself. Many examples of applications are included, mostly using simple data sets. The examples are from the environmental sciences, but the analytical methods are completely generic. The theory is applicable to both discrete event hazards (e.g. earthquakes) and continuous hazards (e.g. pollution or water availability). This second edition adds new sections on uncertainty quantification, continuous risk analysis, interacting hazards, dataset quality, and the Value of Information concept in decision theory. Literature references have been updated throughout, and exercises have been added to each chapter, all with solutions.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3032145635
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners
Domain: Amazon UK
Release Date: 12 March 2027
Listed Since: 13 November 2025

Barcode

No barcode data available

This is the most expensive it has ever been. Walk away.

Springer Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences (Textbooks in Statistical Science)

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Bayesian Real-Time System Identification: From Centralized to Distributed Approach

Theorems on the Prevalence Threshold and the Geometry of Screening Curves: A Bayesian Approach to Clinical Decision-Making

Prior Processes and Their Applications: Nonparametric Bayesian Estimation (Springer Series in Statistics)

Multi-Level Bayesian Models for Environment Perception

Recent Developments in Bayesian Econometrics and Their Applications: Festschrift in Honour of Sune Karlsson

Springer - Bayesian Probability in Geotechnical Engineering

Bayesian Statistics: The Basics - Routledge

Sensitivity Analysis of Probabilistic Graphical Models: Theoretical Results and Their Applications on Bayesian Network Modeling and Inference

Modern Bayesian Computation: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Bayesian Inverse Problems: Fundamentals and Engineering Applications

Bayesian Non-parametric Estimation in Proportional Hazard Models: Survival Data Analysis with WinBUGS

Bayesian Analysis: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Bayesian Adaptive Design for Immunotherapy and Targeted Therapy

New Insights into Bayesian Inference

Probabilistic Topic Models: Foundation and Application

Bayesian Nonparametric Statistics: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Bayesian Spatial Modelling with Conjugate Prior Models

Business Intelligence for Multi-Domain Systems Engineering and Operations: Applications in Cyber-Physical Production

Bayesian Inference - Recent Trends

Bayesian Adaptive Designs for Innovative Clinical Trials and Precision Medicine (Chapman & Hall/CRC Biostatistics Series)

R for Basic Biostatistics in Medical Research

Application of Bayesian Estimation to Educational Research

Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin

Case Studies in Bayesian Methods for Biopharmaceutical CMC (Chapman & Hall/CRC Biostatistics Series)

This is the most expensive it has ever been. Walk away.

Springer Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences (Textbooks in Statistical Science)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Bayesian Real-Time System Identification: From Centralized to Distributed Approach

Theorems on the Prevalence Threshold and the Geometry of Screening Curves: A Bayesian Approach to Clinical Decision-Making

Prior Processes and Their Applications: Nonparametric Bayesian Estimation (Springer Series in Statistics)

Multi-Level Bayesian Models for Environment Perception

Recent Developments in Bayesian Econometrics and Their Applications: Festschrift in Honour of Sune Karlsson

Springer - Bayesian Probability in Geotechnical Engineering

Bayesian Statistics: The Basics - Routledge

Sensitivity Analysis of Probabilistic Graphical Models: Theoretical Results and Their Applications on Bayesian Network Modeling and Inference

Modern Bayesian Computation: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Bayesian Inverse Problems: Fundamentals and Engineering Applications

Bayesian Non-parametric Estimation in Proportional Hazard Models: Survival Data Analysis with WinBUGS

Bayesian Analysis: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Bayesian Adaptive Design for Immunotherapy and Targeted Therapy

New Insights into Bayesian Inference

Probabilistic Topic Models: Foundation and Application

Bayesian Nonparametric Statistics: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Bayesian Spatial Modelling with Conjugate Prior Models

Business Intelligence for Multi-Domain Systems Engineering and Operations: Applications in Cyber-Physical Production

Bayesian Inference - Recent Trends

Bayesian Adaptive Designs for Innovative Clinical Trials and Precision Medicine (Chapman & Hall/CRC Biostatistics Series)

R for Basic Biostatistics in Medical Research

Application of Bayesian Estimation to Educational Research

Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin

Case Studies in Bayesian Methods for Biopharmaceutical CMC (Chapman & Hall/CRC Biostatistics Series)