Search for dissertations about: "stochastic model"
Showing result 16 - 20 of 632 swedish dissertations containing the words stochastic model.
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16. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions
Abstract : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. READ MORE
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17. Estimation and Control of Resonant Systems with Stochastic Disturbances
Abstract : The presence of vibration is an important problem in many engineering applications. Various passive techniques have traditionally been used in order to reduce waves and vibrations, and their harmful effects. Passive techniques are, however, difficult to apply in the low frequency region. READ MORE
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18. Stochastic epidemics on random networks
Abstract : This thesis considers stochastic epidemic models for the spread of epidemics in structured populations. The asymptotic behaviour of the models is analysed by using branching process approximations. The thesis contains four manuscripts. READ MORE
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19. Decision Making under Uncertainty in Financial Markets : Improving Decisions with Stochastic Optimization
Abstract : This thesis addresses the topic of decision making under uncertainty, with particular focus on financial markets. The aim of this research is to support improved decisions in practice, and related to this, to advance our understanding of financial markets. READ MORE
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20. Four applications of stochastic processes : Contagious disease, credit risk, gambling and bond portfolios
Abstract : This thesis consists of four papers on applications of stochastic processes. In Paper I we study an open population SIS (Susceptible - Infective - Susceptible) stochastic epidemic model from the time of introduction of the disease, through a possible outbreak and to extinction. The analysis uses coupling arguments and diffusion approximations. READ MORE