Suchergebnisse - "Katrien Antonio"

'Author’s Reply: A Bayesian Generalized Linear Model for the Bornhuetter-Ferguson Method of Claims Reserving,' R. J. Verrall, July 2004 - Discussion by Katrien Antonio, Jan Beirlant, Tom Hoedemakers, and David P. M. Scollnik

Quelle: North American Actuarial Journal. 9:149-149

Schlagwörter: 0101 mathematics, 01 natural sciences

Editorial for ADAC issue 4 of volume 19 (2025).

Autoren: Vichi, Maurizio Cerioli, Andrea Kestler, Hans A.

Quelle: Advances in Data Analysis & Classification; Dec2025, Vol. 19 Issue 4, p855-859, 5p

ASB volume 53 issue 2 Cover and Back matter.

Quelle: Astin Bulletin; May2023, Vol. 53 Issue 2, pb1-b3, 3p

Producing the Dutch and Belgian mortality projections: a stochastic multi-population standard: A stochastic multi-population standard

Autoren: Katrien Antonio Anja De Waegenaere Hok-Kwan Kan et al.

Quelle: European Actuarial Journal. 7:297-336

Schlagwörter: Stochastic multi-population mortality, Professional actuarial associations, 05 social sciences, 01 natural sciences, Longevity risk, Poisson regression, Li and Lee model, 0502 economics and business, Projected mortality, Pension calculations, Stochastic mortality models, 0101 mathematics, Lee and Carter model

Dateibeschreibung: application/pdf

Zugangs-URL: https://pure.uva.nl/ws/files/21793481/Producing_the_Dutch.pdf
https://dare.uva.nl/personal/pure/en/publications/producing-the-dutch-and-belgian-mortality-projections-a-stochastic-multipopulation-standard(d8700f7c-b309-4ee7-a946-47db1e8612d7).html
https://hdl.handle.net/11245.1/d8700f7c-b309-4ee7-a946-47db1e8612d7
https://doi.org/10.1007/s13385-017-0159-x
https://research.tilburguniversity.edu/en/publications/248ba2e4-62bc-49d4-b6f0-b90a1eb28286
https://doi.org/10.1007/s13385-017-0159-x
https://research.tilburguniversity.edu/en/publications/producing-the-dutch-and-belgian-mortality-projections-a-stochasti
https://link.springer.com/article/10.1007/s13385-017-0159-x
https://www.narcis.nl/publication/RecordID/oai%3Adare.uva.nl%3Apublications%2Fd8700f7c-b309-4ee7-a946-47db1e8612d7
https://core.ac.uk/display/95684487
https://dare.uva.nl/search?identifier=d8700f7c-b309-4ee7-a946-47db1e8612d7

Reducing the dimensionality and granularity in hierarchical categorical variables.

Autoren: Wilsens, Paul Antonio, Katrien Claeskens, Gerda

Quelle: Advances in Data Analysis & Classification; Dec2025, Vol. 19 Issue 4, p1087-1118, 32p

Proactive product warranty service planning and control: unravelling the boons of customer-generated content and multi-frequency analyses.

Autoren: Nikseresht, Ali Shokouhyar, Sajjad Shokoohyar, Sina

Quelle: Production Planning & Control; Jul2025, Vol. 36 Issue 10, p1352-1379, 28p

Schlagwörter: WARRANTY, TIME-frequency analysis, REPAIR & maintenance services, USER-generated content, PREDICTION models

Reviews & Products: TWITTER (Web resource)

Pixel-Based Clustering for Local Interpretable Model-Agnostic Explanations.

Autoren: Qian, Junyan Wen, Tong Ling, Ming et al.

Quelle: Journal of Artificial Intelligence & Soft Computing Research; 2025, Vol. 15 Issue 3, p257-277, 21p

Schlagwörter: ARTIFICIAL intelligence, MACHINE learning, STATISTICAL sampling, EXPLANATION, FORECASTING

Performance-based maintenance contract for mission-critical equipment considering spare parts inventory cost-sharing and suppliers' risk attitudes.

Autoren: Zhang, Min Wei, Keke He, Shuguang et al.

Quelle: International Journal of Production Research; Nov2023, Vol. 61 Issue 21, p7524-7539, 16p, 2 Diagrams, 2 Charts, 5 Graphs

Schlagwörter: SPARE parts, SERVICE contracts, SUPPLIERS, ATTITUDE (Psychology), INVENTORIES, CONTRACT manufacturing

AI, insurance, discrimination and unfair differentiation: an overview and research agenda.

Autoren: van Bekkum, Marvin Zuiderveen Borgesius, Frederik Heskes, Tom

Quelle: Law, Innovation & Technology; May2025, Vol. 17 Issue 1, p177-204, 28p

Schlagwörter: CONSUMER behavior, ARTIFICIAL intelligence, INSURANCE companies, PRICES, ACTUARIAL risk

An engine to simulate insurance fraud network data.

Autoren: Campo, Bavo D. C. Antonio, Katrien

Quelle: European Actuarial Journal; Apr2025, Vol. 15 Issue 1, p255-295, 41p

Abstract

Autoren: Katrien Antonio Tom Hoedemakers Robert Verlaak et al.

Weitere Verfasser: Katrien Antonio Tom Hoedemakers Robert Verlaak et al.

Quelle: http://www.econ.kuleuven.ac.be/tew/academic/actuawet/pdfs/MixedModelsLossReserving.pdf.

Schlagwörter: loss reserving, mixed models, longitudinal data, prediction, Bayesian statistics

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.3; http://www.econ.kuleuven.ac.be/tew/academic/actuawet/pdfs/MixedModelsLossReserving.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.3
http://www.econ.kuleuven.ac.be/tew/academic/actuawet/pdfs/MixedModelsLossReserving.pdf

On clustering levels of a hierarchical categorical risk factor.

Autoren: Campo, Bavo D.C. Antonio, Katrien

Quelle: Annals of Actuarial Science; Nov2024, Vol. 18 Issue 3, p540-578, 39p

Schlagwörter: CLUSTERING algorithms, NATURAL language processing, WORKERS' compensation, STATISTICAL learning, ENGINEERS

An engine to simulate insurance fraud network data

Autoren: Campo, Bavo D.C. Antonio, Katrien

Quelle: ISSN:2190-9733 ; ISSN:2190-9741 ; European Actuarial Journal, vol. 15 (1), (255-295.

Schlagwörter: Social Sciences, Science & Technology, Physical Sciences, Business, Finance, Statistics & Probability, Business & Economics, Mathematics, Social network data, Simulation machine, Insurance fraud detection, Class imbalance, Unlabeled data, GENERALIZED LINEAR-MODELS, FREQUENCY, 0102 Applied Mathematics, 0104 Statistics, 1502 Banking, Finance and Investment, 3502 Banking, 4901 Applied mathematics, 4905 Statistics

Relation: https://lirias.kuleuven.be/handle/20.500.12942/756618

Verfügbarkeit: https://lirias.kuleuven.be/handle/20.500.12942/756618
https://hdl.handle.net/20.500.12942/756618
https://doi.org/10.1007/s13385-024-00399-z

Catastrophe risk in a stochastic multi‐population mortality model.

Autoren: Robben, Jens Antonio, Katrien

Quelle: Journal of Risk & Insurance; Sep2024, Vol. 91 Issue 3, p599-651, 53p

Schlagwörter: STOCHASTIC analysis, RISK managers, DEATH rate, CAPITAL requirements, STOCHASTIC models

Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment.

Autoren: Yang, Lingkai McClean, Sally Donnelly, Mark et al.

Quelle: ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-24, 24p

Schlagwörter: LIKELIHOOD ratio tests, CONSUMERS, INDUSTRIAL management, SUPPLY chains

Regulatory options for vehicle telematics devices: balancing driver safety, data privacy and data security.

Autoren: Truby, Jon Brown, Rafael Dean Antoine Ibrahim, Imad

Quelle: International Review of Law, Computers & Technology; Mar2024, Vol. 38 Issue 1, p86-110, 25p

Schlagwörter: TELEMATICS, MOTOR vehicle industry, DATA privacy, DATA security, ELECTRONICS in motor vehicles, ROAD safety measures, TRAFFIC engineering

A Comparative Study of Automated Quantification in Digital Insurance.

Autoren: Infantino, Marta

Quelle: International Journal of Digital Law & Governance; 2024, Vol. 1 Issue 1, p1-27, 27p

Schlagwörter: INSURANCE companies, COMPARATIVE law, AUTOMATION, COMMON law

Geografische Kategorien: CHINA, EUROPE

Insurance pricing with hierarchically structured data an illustration with a workers' compensation insurance portfolio.

Autoren: Campo, Bavo D. C. Antonio, Katrien

Quelle: Scandinavian Actuarial Journal; Nov2023, Vol. 2023 Issue 9, p853-884, 32p

Schlagwörter: WORKERS' compensation, PRICES, STATISTICAL learning, INSURANCE, PREDICTION models

AUTOMOBILE INSURANCE PREMIUM PRICE DISCRIMINATION: SEX/GENDER.

Autoren: MUROLO, MARGARET

Quelle: Connecticut Insurance Law Journal; Fall2023, Vol. 30 Issue 1, p111-167, 57p

Schlagwörter: AUTOMOBILE insurance, SEX discrimination, INSURANCE premiums, AUTOMOBILE driver education, PRICE discrimination, CIVIL Rights Act of 1964. Title VII

Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting †.

Autoren: Clemente, Carina Guerreiro, Gracinda R. Bravo, Jorge M.

Quelle: Risks; Sep2023, Vol. 11 Issue 9, p163, 20p

Schlagwörter: INSURANCE claims, AUTOMOBILE insurance, INDEPENDENT variables, DECISION trees, COMPLEX variables