Bayesian Decision Theory and Climate Change

K. Keller

doi:10.1016/B978-0-12-375067-9.00143-1

Bayesian Decision Theory and Climate Change

K. Keller

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Scopus citations

Abstract

A discussion of how Bayesian decision theory has been and could be used to analyze climate change decision making with a focus on the interactions between (i) deep uncertainties, (ii) potential climate thresholds, (iii) low-probability high-impact events, (iv) learning, and (v) decision criteria.

Original language	English (US)
Title of host publication	Environment
Publisher	Elsevier Inc.
Pages	1-4
Number of pages	4
Volume	3-3
ISBN (Electronic)	9780123750679
ISBN (Print)	9780080964522
DOIs	https://doi.org/10.1016/B978-0-12-375067-9.00143-1
State	Published - Jan 1 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

General Economics, Econometrics and Finance
General Business, Management and Accounting

Access to Document

10.1016/B978-0-12-375067-9.00143-1

Cite this

@inbook{40b7202370444a04a5f761e8f41084cf,

title = "Bayesian Decision Theory and Climate Change",

abstract = "A discussion of how Bayesian decision theory has been and could be used to analyze climate change decision making with a focus on the interactions between (i) deep uncertainties, (ii) potential climate thresholds, (iii) low-probability high-impact events, (iv) learning, and (v) decision criteria.",

author = "K. Keller",

year = "2013",

month = jan,

day = "1",

doi = "10.1016/B978-0-12-375067-9.00143-1",

language = "English (US)",

isbn = "9780080964522",

volume = "3-3",

pages = "1--4",

booktitle = "Environment",

publisher = "Elsevier Inc.",

address = "United States",

}

TY - CHAP

T1 - Bayesian Decision Theory and Climate Change

AU - Keller, K.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - A discussion of how Bayesian decision theory has been and could be used to analyze climate change decision making with a focus on the interactions between (i) deep uncertainties, (ii) potential climate thresholds, (iii) low-probability high-impact events, (iv) learning, and (v) decision criteria.

AB - A discussion of how Bayesian decision theory has been and could be used to analyze climate change decision making with a focus on the interactions between (i) deep uncertainties, (ii) potential climate thresholds, (iii) low-probability high-impact events, (iv) learning, and (v) decision criteria.

UR - https://www.scopus.com/pages/publications/85042728453

UR - https://www.scopus.com/pages/publications/85042728453#tab=citedBy

U2 - 10.1016/B978-0-12-375067-9.00143-1

DO - 10.1016/B978-0-12-375067-9.00143-1

M3 - Chapter

AN - SCOPUS:85042728453

SN - 9780080964522

VL - 3-3

SP - 1

EP - 4

BT - Environment

PB - Elsevier Inc.

ER -

Bayesian Decision Theory and Climate Change

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this