Bayesian Networks : : Advances and Novel Applications / / Douglas McNair, editor.
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 s...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | London : : IntechOpen,, [2019] ©2019 |
Year of Publication: | 2019 |
Language: | English |
Physical Description: | 1 online resource (136 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 02539nam a2200445 i 4500 | ||
---|---|---|---|
001 | 993548711904498 | ||
005 | 20240430202450.0 | ||
006 | m o d | ||
007 | cr#||||||||||| | ||
008 | 221007s2019 enka o 000 0 eng d | ||
020 | |a 1-83962-324-1 | ||
020 | |a 1-83962-323-3 | ||
035 | |a (CKB)4100000011325268 | ||
035 | |a (NjHacI)994100000011325268 | ||
035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/67061 | ||
035 | |a (EXLCZ)994100000011325268 | ||
040 | |a NjHacI |b eng |e rda |c NjHacl | ||
041 | 0 | |a eng | |
050 | 4 | |a QA279.5 |b .B394 2019 | |
082 | 0 | 4 | |a 519.542 |2 23 |
100 | 1 | |a McNair, Douglas |4 edt | |
245 | 0 | 0 | |a Bayesian Networks : |b Advances and Novel Applications / |c Douglas McNair, editor. |
246 | |a Bayesian networks | ||
260 | |b IntechOpen |c 2019 | ||
264 | 1 | |a London : |b IntechOpen, |c [2019] | |
264 | 4 | |c ©2019 | |
300 | |a 1 online resource (136 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on: online resource; title from PDF information screen (InTech, viewed October 10, 2022). | ||
520 | |a 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. This strong and varied response results not least from the fact that plausibilistic Bayesian models of structures and processes can be robust and stable representations of causal relationships. Additionally, BNs' amenability to incremental or longitudinal improvement through incorporating new data affords extra advantages compared to traditional frequentist statistical methods. Contributors to this volume elucidate various new developments in these aspects of BNs. | ||
546 | |a English | ||
540 | |a Creative Commons Attribution 3.0 Unported |f CC BY 3.0 |u https://creativecommons.org/licenses/by/3.0/legalcode | ||
506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
650 | 0 | |a Bayesian statistical decision theory |x Data processing. | |
650 | 0 | |a Mathematical statistics. | |
653 | |a Mathematical modelling | ||
776 | |z 1-83962-322-5 | ||
700 | 1 | |a McNair, Douglas, |e editor. | |
906 | |a BOOK | ||
ADM | |b 2024-05-01 21:50:43 Europe/Vienna |f system |c marc21 |a 2020-07-11 23:33:38 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338856110004498&Force_direct=true |Z 5338856110004498 |b Available |8 5338856110004498 |