Teaching
I have been teaching courses at all levels from the large mathematical fields of analysis, probability theory and statistics, algebra, and discrete mathematics. At the time being, I am almost entirely teaching courses of the Master Programme in Mathematics and Modelling, specialisation in Mathematical Statistics and Financial Mathematics, a specialisation for which I am responsible.
Research
I have been working at the borderline between probability theory and functional analysis, in particular operator theory. These fields also constitute the basic mathematical toolboxes for quantum mechanical models. More precisely, my area of research is stochastic dynamic systems driven by stochastic processes, e.g. degenerate Brownian motion as starting point and more general Lévy and nonMarkovian noises like fractional Brownian motion and nonlinear processes involving a meanfield contribution. The existence of solutions is studied while the focus is on qualitative properties of the system like transience, ergodicity, asymptotic dependence on parameters like time, scaling parameters, number of particles/players.
Due to their importance in applications, optimization problems were investigated recently, i.e. optimal filtering and stochastic optimal control as part of differential games. Motivated by applications and applicability, my field of research was completed by time series models, better accessible for statistical inference. My focuses are functional data analysis and computational statistics for high frequency and large data sets.
There are numerous applications in the natural sciences as well as in economy, e.g. to hydrological problems in nuclear waste management, or the prediction of prices, e.g. electricity prices, interbank monetary transfer, appropriate reinsurance levels, solvency of insurance business, and optimal evacuation of large buildings.
My research groups and projects

Stochastic Analysis and Stochastic Processes The researchers of this group focus on analytical and numerical aspects of solutions to stochastic differential equations (SDE’s and SPDE’s) and stochastic …

International Center for Mathematical Modeling ICMM is a centre for research in mathematical modelling, applicable within a number of different subjects and fields. Since 2000, the research group has a…
Material from LSAA, Linnaeus University Workshop in Stochastic Analysis and Applications
Organization of conferences outside Linnaeus University
Publications
Article in journal (Refereed)
 Basna, R., Hilbert, A., Kolokoltsov, V. (2017). An Approximate Nash Equilibrium for Pure Jump Markov Games of Meanfieldtype on Continuous State Space. Stochastics : An International Journal of Probablitiy and Stochastic Processes. 89. 967993.
 Doerr, B., Fischer, P., Hilbert, A., Witt, C. (2017). Detecting Structural Breaks in Time Series via Genetic Algorithms. Soft Computing  A Fusion of Foundations, Methodologies and Applications. 21. 47074720.
 Djechiche, B., Hilbert, A., Nassar, H. (2016). On the Functional HodrickPrescott Filter with Noncompact Operators. Random Operators and Stochastic Equations. 24. 3342.
 Basna, R., Hilbert, A., Kolokoltsov, V. (2014). An Epsilon Nash Equilibrium For NonLinear Markov Games of MeanFieldType on Finite Spaces. Communications on Stochastic Analysis. 8. 449468.
 Albeverio, S., Hilbert, A., Kolokoltsov, V. (2012). Uniform Asymptotic Bounds for the Heat Kernel and the Trace of a Stochastic Geodesic Flow. Stochastics : An International Journal of Probablitiy and Stochastic Processes. 84. 315333.
 Albeverio, S., Hilbert, A., Kolokoltsov, V. (1999). Estimates uniform in time for the transition probability ofdiusions with small drift and for stochastically perturbed Newton equations. Journal of theoretical probability. 12. 293300.
 Albeverio, S., Hilbert, A., Kolokoltsov, V. (1997). Transcience of stochastically perturbed classical Hamiltonian systems and random wave operators. Stochastics and Stochastics Reports. 4155.
Conference paper (Refereed)
 Fischer, P., Hilbert, A. (2014). Fast Detection of Structural Breaks. Proceedings of 21th International Conference on Computational Statistics, Geneva, August 1922, 2014.
 Doerr, B., Fischer, P., Hilbert, A., Witt, C. (2013). Evolutionary Algorithms for the Detection of Structural Breaks in Time Series : extended abstract. Proceedings of the 15th annual conference on Genetic and evolutionary computation. 119120.
 Fischer, P., Hilbert, A. (2012). Visual time series analysis. Proceedings of COMPSTAT 2012 : 20th International Conference on Computational Statistics. 225234.
 Avis, D., Fischer, P., Hilbert, A., Khrennikov, A. (2009). Single, Complete, Probability Spaces Consistent With EPRBohmBell Experimental Data. Foundations of Probability and Physics5. 294301.
 Hilbert, A. (2004). Some features of regular Hamiltonian dynamics corresponding to degenerate diffusions on a cotangent bundle.
 Hilbert, A., Léandre, R. (2001). NagelSteinWainger estimates for balls associated with the Bismut condition. Stochastic Processes, Physics and Geometry: New Interplays II. 269284.
Article in journal (Other academic)
 Albeverio, S., Hilbert, A., Kolokoltsov, V. (2009). The small time asymptotics of the transition density of some degenerate diffusions on the cotangent bundle. arXiv:0912.4683v2.
 Hilbert, A. (2000). Sur le comportement asymptotique du noyau associé à une diffusion dégénérée. Reviews Canadian Math. 151159.
Conference paper (Other academic)
 AlTalibi, H., Hilbert, A., Kolokoltsov, V. (2010). Nelsontype Limit for a Particular Class of Lévy Processes. AIP Conference Proceedings; 1232. 189193.
Manuscript (preprint) (Other academic)
 AlTalibi, H., Hilbert, A. Differentiable Approximation by Solutions of Newton Equations Driven by Fractional Brownian Motion..
 Assing, S., Hilbert, A. A time change method for second order SDEs.
 AlTalibi, H., Hilbert, A., Kolokoltsov, V. SmoluchowskiKramers Limit for a System Subject to a MeanField Drift.
 Assing, S., Hilbert, A. On the collapse of a wave functionsatisfying a damped driven nonlinearSchr ̈odinger equation.