• Conditional likelihood based inference on single-index models for motor insurance claim severity 

  Bolancé Losilla, Catalina; Cao, Ricardo; Guillén, Montserrat (Institut d'Estadistica de Catalunya, 2024)

  [Abstract]: Prediction of a traffc accident cost is one of the major problems in motor insurance. To identify the factors that infuence costs is one of the main challenges of actuarial modelling. Telematics data about ...

• On benefits of cooperation under strategic power 

  Fiestras Janeiro, María Gloria; García-Jurado, Ignacio; Meca Martínez, Ana; Mosquera Rodríguez, Manuel Alfredo (Springer, 2020-05)

  [Abstract]: We introduce a new model involving TU-games and exogenous structures. Specifically, we consider that each player in a population can choose an element in a strategy set and that, for every possible strategy ...

• A heuristic approach to the task planning problem in a home care business 

  Méndez-Fernández, Isabel; Lorenzo Freire, Silvia; García-Jurado, Ignacio; Costa, Julián; Carpente, Luisa (Springer, 2020-12)

  [Abstract]: In this paper, we study a task scheduling problem in a home care business. The company has a set of supervisors in charge of scheduling the caregivers’ weekly plans. This can be a time-consuming task due to the ...

• Bootstrap-based statistical inference for linear mixed effects under misspecifications 

  Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (Elsevier, 2024)

  [Abstract]: Linear mixed effects are considered excellent predictors of cluster-level parameters in various domains. However, previous research has demonstrated that their performance is affected by departures from model ...

• CABRA: Clustering algorithm based on regular arrangement 

  C-Rella, Jorge (Elsevier, 2024)

  [Abstract]: Clustering is an unsupervised learning technique for organizing complex datasets into coherent groups. A novel clustering algorithm is presented, with a simple grouping concept depending on only one hyperparameter, ...

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