Logo

Bayesian Networks: Advances and Novel Applications

Small book cover: Bayesian Networks: Advances and Novel Applications

Bayesian Networks: Advances and Novel Applications
by

Publisher: IntechOpen
ISBN-13: 9781839623240
Number of pages: 256

Description:
Bayesian networks (BN) have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis and assets and liabilities management, AI and robotics, transportation systems planning and optimization, political science analytics, law and forensic science assessment of agency and culpability, pharmacology and pharmacogenomics, systems biology and metabolomics, psychology, and policy-making and social programs evaluation.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: A First Course In Mathematical StatisticsA First Course In Mathematical Statistics
by - Cambridge University Press
This book provides the mathematical foundations of statistics. It explains the principles, and proves the formulae to give validity to the methods of the interpretation of statistical data. It is of interest to students of a wide variety of subjects.
(10592 views)
Book cover: Experimental Design and AnalysisExperimental Design and Analysis
by - Carnegie Mellon University
This book is intended as required reading material for the course Experimental Design for the Behavioral and Social Sciences, a second level statistics course for undergraduate students in the College of Humanities and Social Sciences...
(16556 views)
Book cover: SPSS: Stats Practically Short and SimpleSPSS: Stats Practically Short and Simple
by - BookBoon
This textbook is for people who want to know how to use SPSS for analyzing data. The author has considerable experience of teaching many such people and assumes they know the basics of statistics but nothing about SPSS, or as it is now known, PASW.
(15040 views)
Book cover: Residuals and Influence in RegressionResiduals and Influence in Regression
by - Chapman & Hall
In this monograph, we present a detailed account of the residual based methods that we have found to be most useful, and brief summaries of other selected methods. Our emphasis is on graphical methods rather than on formal testing.
(13013 views)