Sökning: "stochastic Markov chain model"
Visar resultat 1 - 5 av 30 avhandlingar innehållade orden stochastic Markov chain model.
1. Stochastic model updating and model selection with application to structural dynamics
Sammanfattning : Uncertainty induced by our incomplete state of knowledge about engineering systems and their surrounding environment give rise to challenging problems in the process of building predictive models for the system behavior. One such challenge is the model selection problem, which arises due to the existence of invariably multiple candidate models with different mathematical forms to represent the system behavior, and so there is a need to assess their plausibility based on experimental data. LÄS MER
2. Rainflow Analysis of Switching Markov Loads
Sammanfattning : Rainflow cycles are often used in fatigue analysis of materials for describing the variability of applied loads. Therefore, an important characteristic of a random load process is the intensity of rainflow cycles, also called the expected rainflow matrix (RFM), which can be used for evaluation of the fatigue life. LÄS MER
3. Interacting Particle Systems: Percolation, Stochastic Domination and Randomly Evolving Environments
Sammanfattning : In this thesis we first analyze the class of one-dependent trigonometric determinantal processes and show that they are all two-block-factors. We do this by constructing the two-block-factors explicitly. Second we investigate the dynamic stability of percolation for the stochastic Ising model and the contact process. LÄS MER
4. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions
Sammanfattning : 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. LÄS MER
5. Satistical Modelling Of CO2 Exchange Between Land And Atmosphere : Using Stochastic Optimisation And Gaussian Markov Random Fields
Sammanfattning : This thesis focuses on the development and application of efficient mathematicaltools for estimating and modelling the exchange of carbon dioxide (CO2) between the Earth and its atmosphere; here referred to as the global CO2 surface flux.There are two main approaches for estimating the CO2 flux: Processed based(bottom-up) modelling and atmospheric inversion (top-down) modelling. LÄS MER