Session 3: Actuarial and Financial Data Analytics (Chair, Jose Blanchet).

  
  

 

 

 Time

Subject

08:30 – 09:10

Invited Lecture :Emmanuel Gobet, (together with M. Allouche, C. Lage, E. Mangin)

Structured dictionary learning of rating migration matrices for credit risk modeling

09:10 – 09:30

L. Markus, D. Boros

Deep Learning the Parameters of Fractional Processes and Assessing Their Accuracy

09:30 – 09:50

M. E. Hiabu, J. Meyer, E. Mammen

Random Planted Forest

09:50 – 10:10

M. Denuit, J. Huyghe, J. Trufin, T. Verdbout

Testing for auto-calibration with Lorenz and concentration curves

10:10 – 11:00

Break

11:00 – 11:20

A. Riis-Due, D. Landriault, B. Li

Reinforcement Learning Approaches to the Problem of Actuarial Credibility  

11:20 – 11:40

J. S. K. Chan, S. T. B. Choy, E. Makov, A. Shamir, V. Shapovalov

Enhanced Variable Selection Algorithm for Handling Overdispersion in Claims Frequency Modeling with Mixture of Poisson Regression Using Telematics Car Driving Data

11:40 – 12:00

A. Janssen, S. Neblung, S. Stoev

Metric embeddings of tail correlation matrices

12:00 – 12:20

K. Buchardt, C. Furrer, O. L. Sandqvist

Likelihood-based estimation for multistate models subject to IBNR- and RBNS-effects

12:20 – 12:40

L. Hong, H. Yang

A new machine learning approach to detecting insurance fraud

12:40 – 13:00

M. Anthropelos, R. Feng, S. Kim

On the Expansion of Risk Pooling

13:15 – 20:00

Excursion to Samos Island