PhD Students

Here you can find a list of students who earned a PhD degree under the supervision of a member of the Risk and Stochastics group.

 

Current

  • Pere Diaz Lozano
  • Andrea Fiacco
  • Aleksander Grochowicz
  • Åsmund Hausen Sande
  • Oriol Zamora Font

2023

  • Mari Dahl Eggen. Stochastic differential equations with memory and relations. Modelling of stratospheric dynamics. 
  • Michele Giordano. On stochastic control for Volterra type dynamics.

2022

  • Anton Yurchenko-Tytarenko. Stochastic Volterra volatility models.
  • Alexander Lobbe. Machine learning for the stochastic filtering problem.
  • Dennis Schroers. New topics in nonlinear functional data analysis.
  • Mihaela-Alexandra Puica. Advances in wind power modeling. Merging research and market experience.
  • Alise Midtfjord. Modelling and analysis of multidimensional high-resolution environmental data with application to airport runway condition management.

2021

  • Christian Agrell. Probabilistic machine learning and phenomenological knowledge. Developments for optimization under uncertainty in safety-critical systems.
  • Silvia Lavagnini. Stochastic modelling in energy markets. From the spot price to derivative contracts.

2020

  • Marc Lagunas Merino. Stochastic modeling with fractional and non-fractional noises. Applications to finance and insurance.
  • Oussama Amine. Regularization effects for certain dynamical systems through Gaussian noises.
  • Yinzhi Wang. Problems in insurance mathematics systems.

2018

  • Fabian Andsem Harang. Stability and regularization of stochastic equations driven by fracgional and multifractional noise.
  • Kristina Skutlaberg. Ranking of components in binary and multistate systems through importance measures, optimization and decision analysis.
  • Noor 'Adilah Ibrahim. Stochastic modelling of weather risk in energy markets.

2017

  • Hannes Hagen Haferkorn. The effect of noise in the modelling and the analysis of random systems.
  • Marie Lilleborge. Efficient information gathering in discrete Bayesian networks.

2016

  • Hanna Marta Zdanowicz. Pricing and hedging in energy markets with weather factor risk.
  • Kristina Rognlien Dahl. Information and memory in stochastic optimal control.

2015

  • Sindre Duedahl. Applications of stochastic calculus of variations to sensitivity analysis and related problems in finance and insurance.
  • David Ruiz Baños. Regularity of stochastic flows of stochastic differential equations with singular coefficients and applications to finance.
  • Sara Ana Solanilla Blanco. Stochastic modelling and pricing of energy and weather derivatives.
  • Jonathan Feinberg. Some improvements and applications of non-intrusive polynomial chaos.

2014

  • Krzysztof Jaroslaw Paczka. Stochastic calculus and optimal control under model uncertainty.
  • Marcus Karl Viren Eriksson. Valuation of energy derivatives: a stochastic control approach.
  • Sven Haadem. Stochastic control and optimal stopping for non-Markov processes with infinite horizon and related topics.
  • Steffen Sjursen. Stochastic optimal control and time changed Lévy noises.

2013

  • Heidar Eyjolfsson. Approximation methods for ambit fields applied to power markets.
  • Torstein Nilssen. Construction and regularity of solutions to stochastic partial differential equations with irregular drift coefficients.
  • Che Mohd Imran Che Taib. Stochastic modelling and pricing of energy related markets. With analysis of the weather and shipping markets.

2012

  • Maren Diane Schmeck. Implications of model choice in Lévy-driven financial markets.
  • Erik Vanem. Bayesian hierarchical space-time models for significant wave height.

2011

  • Asma Khedher. Sensitivity and robustness to model risk in Lévy and jump-diffusion setting.

2010

  • Pål Nicolai Henriksen. Computational methods with applications in finance and insurance.
    Published Jan. 18, 2024 2:52 PM - Last modified Jan. 31, 2024 9:21 AM