Main Title |
Causal analytics for applied risk analysis / |
Author |
Cox Jr., Louis Anthony,
|
Other Authors |
|
Publisher |
Springer, |
Year Published |
2018 |
OCLC Number |
1024263404 |
ISBN |
3319782401; 9783319782409 |
Subjects |
Business ;
Big data ;
Risk management
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ELBM |
HD30.23.C69 2018 |
|
AWBERC Library/Cincinnati,OH |
08/20/2019 |
|
Collation |
xxii, 588 pages : illustrations ; 24 cm. |
Notes |
Includes bibliographical references and index. |
Contents Notes |
Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives. |
Place Published |
Cham |
Title Ser Add Ent |
International series in operations research & management science ; v. 270. |
PUB Date Free Form |
2018 |
Series Title Untraced |
International series in operations research & management science ; v. 270 |
BIB Level |
m |
Medium |
unmediated |
Content |
text |
Carrier |
volume |
Cataloging Source |
OCLC/T |
OCLC Time Stamp |
20190809062244 |
Language |
eng |
Origin |
OCLC |
Type |
CAT |
OCLC Rec Leader |
02485cam 2200433Ii 45010 |