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Visar resultat 1 - 5 av 92 avhandlingar som matchar ovanstående sökkriterier.
1. Perturbed discrete time stochastic models
Sammanfattning : In this thesis, nonlinearly perturbed stochastic models in discrete time are considered. We give algorithms for construction of asymptotic expansions with respect to the perturbation parameter for various quantities of interest. LÄS MER
2. Markov Chain Monte Carlo Methods and Applications in Neuroscience
Sammanfattning : An important task in brain modeling is that of estimating model parameters and quantifying their uncertainty. In this thesis we tackle this problem from a Bayesian perspective: we use experimental data to update the prior information about model parameters, in order to obtain their posterior distribution. LÄS MER
3. Modelling Allelic and DNA Copy Number Variations using Continuous-index Hidden Markov Models
Sammanfattning : In human cells there are usually two copies of each chromosome, but in cancer cells abnormalities could exist. The differences consist of segments of chromosomes with an altered number of copies. There can be deletions as well as amplifications and the lengths of the segments can also vary. LÄS MER
4. Latent variable models for longitudinal twin data
Sammanfattning : Longitudinal twin data provide important information for exploring sources of variation in human traits. In statistical models for twin data, unobserved genetic and environmental factors influencing the trait are represented by latent variables. In this way, trait variation can be decomposed into genetic and environmental components. LÄS MER
5. 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
