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Events for May 15, 2025

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François HU (Milliman) “Obtaining Fair Insurance Premiums with Multiple Sensitive Attributes”

May 13 @ 10:00 am - May 20 @ 11:00 pm

Finance-Insurance Time: 10.00 am Date:13th of May  2025 Room 3001 François HU (Milliman) "Obtaining Fair Insurance Premiums with Multiple Sensitive Attributes" Abstract : In the context of Algorithmic Fairness, the goal is to ensure that sensitive attributes have no influence on decision-making outcomes. This objective has driven the development of various fairness definitions and tools, […]

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Antonio OCELLO (Ecole Polytechnique) “Convergence Analysis of Diffusion Models: Towards Reliable Sampling”

May 13 @ 4:00 pm - May 20 @ 5:00 pm

Finance-Insurance Time: 4.00 p.m. Date:13th of May  2025 Room 3001 Antonio OCELLO (Ecole Polytechnique) "Convergence Analysis of Diffusion Models: Towards Reliable Sampling" Abstract : Generative models are increasingly explored in insurance for tasks such as risk simulation, scenario generation, and synthetic data augmentation. Their usefulness hinges on the ability to reproduce stylized features of actuarial […]

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10:00 am

Ekaterina KAZAK (Birmingham Business School,) “Conditional Method Confidence Set”

May 15 @ 10:00 am - 12:00 pm

Finance-Insurance Time: 10.00 am Date: 15th of May 2025 Room 3001 Ekaterina KAZAK (Birmingham Business School,) "Conditional Method Confidence Set" Abstract : This paper proposes a Conditional Method Confidence Set (CMCS) which allows to select the best subset of forecasting methods with equal predictive ability conditional on a specific economic regime. The test resembles the […]

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11:00 am

Mirko ARMILLOTTA (University of Rome Tor Vergata,) “Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models”

May 15 @ 11:00 am - 12:00 pm

Finance-Insurance Time: 11.00 am Date: 15th of May 2025 Room 3001 Mirko ARMILLOTTA (University of Rome Tor Vergata,) "Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models" Abstract : We propose a novel estimation approach for a general class of semi-parametric time series models where the conditional expectation is modeled through a parametric function. The […]

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