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PhD Thesis topics

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Última actualización: 12/11/2018

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PhD Topics

(2018-2019)

 

 

Should the candidates be interested in any of the proposals, please contact directly with the supervisors.

 

See here Abstracts and References

 


Selección de factores de riesgo en la dependencia y longevidad

 

Irene Albarrán y Aurea Grané

 


Improving stochastic model search by analyzing algoritihm outcomes with non-parametric Bayesian methods

 

Stefano Cabras y Mike Wiper

 


A predictive and prescriptive framework for the optimal integration of renewable generation in electricity systems

 

Carlos Ruiz Mora

 


Bayesian estimation for generalized state space models

 

Juan Miguel Marin y Helena Veiga

 


New estimators of realized variance and applications to financial predictability

 

Helena Veiga

 


Experiments with applications to financial markets

 

Helena Veiga and Marc Vorsatz

 


Bayesian poverty mapping in small areas

 

Isabel Molina y Juan Miguel Marin

 


On time series clustering

 

Daniel Peña y Andrés M. Alonso

 


Applications of the functional Mahalanobis semi-distance

 

Rosa Lillo y Pedro Galeano

 


Multivariate Directional quantiles in Finance and/or Hydrology

 

Rosa Lillo

 


New approaches to competitivensess and efficiency modeling in football!

 

Helena Viega, Michael Wiper y Juan de Dios Tena

 


Advances in Bayesian stochastic frontier analysis and applications to finance

 

Michael Wiper, Helena Veiga y Sofía Ramos

 


Flexible modelling of high-dimensional directional data

 

Michael Wiper y Eduardo García Portugués