Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование
Bayes Meets Tikhonov : Understanding Uncertainty Within Gaussian Framework for Seismic Inversion. / Izzatullah, Muhammad; Peter, Daniel; Kabanikhin, Sergey и др.
Studies in Systems, Decision and Control. ред. / Samsul Ariffin Abdul Karim; Nordin Saad; Ramani Kannan. 1. ред. Springer Science and Business Media Deutschland GmbH, 2021. стр. 121-145 (Studies in Systems, Decision and Control; Том 320).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование
}
TY - CHAP
T1 - Bayes Meets Tikhonov
T2 - Understanding Uncertainty Within Gaussian Framework for Seismic Inversion
AU - Izzatullah, Muhammad
AU - Peter, Daniel
AU - Kabanikhin, Sergey
AU - Shishlenin, Maxim
N1 - Bayes Meets Tikhonov: Understanding Uncertainty Within Gaussian Framework for Seismic Inversion / M. Izzatullah, D. Peter, S. Kabanikhin, M. Shishlenin // Studies in Systems, Decision and Control. – 2021. – Vol. 320. – P. 121-145.
PY - 2021
Y1 - 2021
N2 - In this chapter, we demonstrate the sound connection between the Bayesian approach and the Tikhonov regularisation within Gaussian framework. We provide a thorough uncertainty analysis to answer the following two fundamental questions: (1) How well is the estimate determined by a posteriori PDF, i.e. by the combination of observed data and a priori information? (2) What are the respective contributions of observed data and a priori information? To support the proposed methodology, we demonstrate it through numerical applications in seismic inversions.
AB - In this chapter, we demonstrate the sound connection between the Bayesian approach and the Tikhonov regularisation within Gaussian framework. We provide a thorough uncertainty analysis to answer the following two fundamental questions: (1) How well is the estimate determined by a posteriori PDF, i.e. by the combination of observed data and a priori information? (2) What are the respective contributions of observed data and a priori information? To support the proposed methodology, we demonstrate it through numerical applications in seismic inversions.
KW - Bayesian framework
KW - Inverse problems
KW - Seismic inversion
UR - http://www.scopus.com/inward/record.url?scp=85093868140&partnerID=8YFLogxK
UR - https://www.elibrary.ru/item.asp?id=45202459
UR - https://www.mendeley.com/catalogue/cc1cc22e-3cbc-3e63-be45-3ac68c9f0677/
U2 - 10.1007/978-981-15-8606-4_8
DO - 10.1007/978-981-15-8606-4_8
M3 - Chapter
AN - SCOPUS:85093868140
SN - 978-981-15-8605-7
SN - 978-981-15-8608-8
SN - 978-981-15-8606-4
T3 - Studies in Systems, Decision and Control
SP - 121
EP - 145
BT - Studies in Systems, Decision and Control
A2 - Ariffin Abdul Karim, Samsul
A2 - Saad, Nordin
A2 - Kannan, Ramani
PB - Springer Science and Business Media Deutschland GmbH
ER -
ID: 25849986