Bayesian Quickest Detection of Credit Card Fraud

Author:

Buonaguidi Bruno1,Mira Antonietta2,Bucheli Herbert3,Vitanis Viton4

Affiliation:

1. Università Cattolica del Sacro Cuore, Department of Statistical Sciences and Università della Svizzera italiana, Institute of Computational Science

2. Università della Svizzera italiana, Institute of Computational Science and Università dell’Insubria, Department of Science and High Technology

3. Aduno Gruppe, Viseca Card Services SA, Zurich, Switzerland and Aarhus University, Department of Economics and Business Economics

4. Aduno Gruppe, Viseca Card Services SA, Zurich, Switzerland

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bayesian Optimized Random Forest Classifier for Improved Credit Card Fraud Detection: Overcoming Challenges and Limitations;Springer Proceedings in Mathematics & Statistics;2024

2. Integration of Deep Learning and Particle Swarm Optimization for Enhanced Accounting Fraud Detection;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

3. Financial Fraud and Anomaly Detection Techniques: A Literature Review;Proceedings of the 2023 4th International Conference on Computer Science and Management Technology;2023-10-13

4. Compound Poisson disorder problem with uniformly distributed disorder time;Bernoulli;2023-08-01

5. Model Misspecification in Discrete Time Bayesian Online Change Detection;Methodology and Computing in Applied Probability;2023-02-17

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