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- Research interest:Simulation, modeling and hypothesis testing. Simulation implies that we create an abstraction of a given system in terms of a set of state variables, their initial values and evolution rules (e.g. discretized dynamical equations), calculate the changed state as a function of one or more independent variables and interpret the results in terms of the original problem statement. Modeling implies that we reduce the description of a given phenomenon in terms of a collection of numerical data, to a description in terms of (approximate) mathematical relations between two or more variables. Hypothesis testing may involve either or both of the above activities and leads to a statistically quantified statement about adoption/rejection of a hypothesis.
- Keywords:SIMULATION (NUMERIC), CORRELATIONS, DATA MANIPULATION, MODELLING, FOURIER TRANSFORM, ORTHOGONAL POLYNOMIALS, BAND WIDTH, SIMULATIONS, MONTE CARLO, STATISTICS, DYNAMICAL SYSTEMS, Computer science (incl. applied informatics)
- Disciplines:Astronomy and space sciences, Applied mathematics in specific fields, Statistics and numerical methods
- Research techniques:Different techniques (Fourier analysis, analysis of variance, orthogonal polynomials) are combined.
- Users of research expertise:Scientific institutions.