Citations (17)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (6)
Ruixuan Zhao, Haoran Zhang & Junhui Wang. (2024) Identifiability and Consistent Estimation for Gaussian Chain Graph Models. Journal of the American Statistical Association 0:0, pages 1-12.
Read now
Read now
Nikki Cornwell, Christopher Bilson, Adrian Gepp, Steven Stern & Bruce J Vanstone. (2023) The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors. Journal of the Operational Research Society 74:1, pages 374-402.
Read now
Read now
Wei Zhou, Xin He, Wei Zhong & Junhui Wang. (2022) Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers. Journal of Computational and Graphical Statistics 31:4, pages 1269-1279.
Read now
Read now
Dimitris Andriosopoulos, Michalis Doumpos, Panos M. Pardalos & Constantin Zopounidis. (2019) Computational approaches and data analytics in financial services: A literature review. Journal of the Operational Research Society 70:10, pages 1581-1599.
Read now
Read now
Kamil J. Mizgier & Maximilian Wimmer. (2018) Incorporating single and multiple losses in operational risk: a multi-period perspective. Journal of the Operational Research Society 69:3, pages 358-371.
Read now
Read now
Andrew Sanford & Imad Moosa. (2015) Operational risk modelling and organizational learning in structured finance operations: a Bayesian network approach. Journal of the Operational Research Society 66:1, pages 86-115.
Read now
Read now
Articles from other publishers (11)
Michalis Doumpos, Constantin Zopounidis, Dimitrios Gounopoulos, Emmanouil Platanakis & Wenke Zhang. (2023) Operational research and artificial intelligence methods in banking. European Journal of Operational Research 306:1, pages 1-16.
Crossref
Crossref
Marco Aurélio de Oliveira, Antonio Schalata Pacheco, André Hideto Futami, Luiz Veriano Oliveira Dalla Valentina & Carlos Alberto Flesch. (2022) Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management. Systems Research and Behavioral Science 40:1, pages 61-87.
Crossref
Crossref
Shailja Vashisht, Mahesh Sarva & Hardeep Singh Mundi. (2022) Risks measurement in banking: A bibliometric and content analysis. International Social Science Journal 72:246, pages 955-977.
Crossref
Crossref
Li Zeng, Wee-Yeap Lau & Elya Nabila Abdul Bahri. (2022) Can the modified ESG-KMV logit model explain the default risk of internet finance companies?. Frontiers in Environmental Science 10.
Crossref
Crossref
Paola Andrea Vaca González. (2019) Cálculo y evaluación del riesgo operativo en entidades de salud a partir del enfoque de redes bayesianas. Ensayos de Economía 29:55, pages 205-233.
Crossref
Crossref
Adel Azar & Khadijeh Mostafaee Dolatabad. (2019) A method for modelling operational risk with fuzzy cognitive maps and Bayesian belief networks. Expert Systems with Applications 115, pages 607-617.
Crossref
Crossref
Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana & Mario Góngora. (2018) Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. Applied Soft Computing 65, pages 614-631.
Crossref
Crossref
Yuqian Xu, Michael Pinedo & Mei Xue. (2017) Operational Risk in Financial Services: A Review and New Research Opportunities. Production and Operations Management 26:3, pages 426-445.
Crossref
Crossref
Lingling Zhang & Guoliang Cai. 2015. Internet of Vehicles - Safe and Intelligent Mobility. Internet of Vehicles - Safe and Intelligent Mobility
447
457
.
Simon Welter, Jörg H. Mayer & Reiner Quick. (2014) Improving Environmental Scanning Systems Using Bayesian Networks. Business Research 6:2, pages 196-213.
Crossref
Crossref
Yuqian Xu & Mei Xue. (2016) Operational Risk in Financial Services: A Review and New Research Opportunities. SSRN Electronic Journal.
Crossref
Crossref