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Bayesian inverse problems : fundamentals and engineering applications /
"This book is intended to provide a bottom-up and fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications. It covers from the fundamentals of the theory to real life applications in the field"--
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press,
2021.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | OR_on1330990363 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 211007s2021 flu ob 001 0 eng d | ||
| 040 | |a SFB |b eng |e rda |c SFB |d OCLCF |d ORMDA |d OCLCQ |d OCLCO | ||
| 020 | |a 9781315232973 |q (electronic bk.) | ||
| 020 | |a 1315232979 |q (electronic bk.) | ||
| 020 | |a 9781351869652 |q (electronic bk. : EPUB) | ||
| 020 | |a 1351869655 |q (electronic bk. : EPUB) | ||
| 020 | |a 9781351869669 |q (electronic bk. : PDF) | ||
| 020 | |a 1351869663 |q (electronic bk. : PDF) | ||
| 020 | |a 9781351869645 |q (electronic bk. : Mobipocket) | ||
| 020 | |a 1351869647 |q (electronic bk. : Mobipocket) | ||
| 020 | |z 9781138035850 | ||
| 020 | |z 1138035858 | ||
| 035 | |a (OCoLC)1330990363 | ||
| 037 | |a 9781315232973 |b Taylor & Francis | ||
| 037 | |a 9781351869652 |b O'Reilly Media | ||
| 050 | 4 | |a QA371 |b .B3655 2021eb | |
| 072 | 7 | |a MAT |x 029000 |2 bisacsh | |
| 072 | 7 | |a SCI |x 086000 |2 bisacsh | |
| 072 | 7 | |a TEC |x 009000 |2 bisacsh | |
| 072 | 7 | |a PB |2 bicssc | |
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| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Bayesian inverse problems : |b fundamentals and engineering applications / |c editors, Juan Chiachío-Ruano, University of Granada, Spain, Manuel Chiachío-Ruano, University of Granada, Spain, Shankar Sankararaman, Intuit Inc., USA. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton : |b CRC Press, |c 2021. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "This book is intended to provide a bottom-up and fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications. It covers from the fundamentals of the theory to real life applications in the field"-- |c Provided by publisher. | ||
| 545 | 0 | |a Juan Chiach̕o-Ruano is an Associate Professor of Structural Engineering at University of Granada (Spain), and a researcher at the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI). He has devoted his research career to the study and development of Bayesian methods in application to a wide range of Mechanical and Structural Engineering problems. Prior to joining University of Granada, he has developed a significant international research career working at top academic institutions in the UK and the USA. Manuel Chiach̕o-Ruano holds a PhD in Structural Engineering (2014) by the University of Granada (Spain). Currently, he is Associate Professor and Head of the Intelligent Prognostics and Cyber-physical Structural Systems Laboratory (iPHMLab) at the University of Granada. He has developed a significant part of his research in collaboration with the California Institute of Technology (USA), the University of Nottingham (UK) and NASA Ames Research Center (USA), during his stays at these institutions. Shankar Sankararaman received his PhD in Civil Engineering from Vanderbilt University, Nashville, TN, USA, in 2012. Soon after, he joined NASA Ames Research Center, where he developed Machine Learning algorithms and Bayesian methods for system health monitoring, prognostics, decision-making, and uncertainty management. Dr Sankararaman has co-authored a book on prognostics and published over 100 technical articles in international journals and conferences. Presently, Shankar is a scientist at Intuit AI, where he focuses on implementing cutting edge research in products and solutions for Intuit's customers. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Inverse problems (Differential equations) | |
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 6 | |a Problèmes inverses (Équations différentielles) | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 650 | 7 | |a Inverse problems (Differential equations) |2 fast | |
| 700 | 1 | |a Chiachío-Ruano, Juan, |d 1983- |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Bayesian inverse problems. |b First edition. |d Boca Raton : CRC Press, 2021 |z 9781138035850 |w (DLC) 2021016121 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781351869652/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||