Sökning: "Markov chain simulation"
Visar resultat 11 - 15 av 40 avhandlingar innehållade orden Markov chain simulation.
11. Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Sammanfattning : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. LÄS MER
12. Physiologically based pharmacokinetic modeling in risk assessment - Development of Bayesian population methods
Sammanfattning : In risk assessment of risk chemicals, variability in susceptibility in the population is an important aspect. The health hazard of a pollutant is related to the internal exposure to the chemical, i.e. the target dose, rather than the external exposure. LÄS MER
13. Inference in a Partially Observed Percolation Process
Sammanfattning : In this licentiate thesis, inference in a partially oberved percolation process living on a graph, is considered. Each edge of the graph is declared open with probability $\theta$ and closed with probability $1-\theta$ independently of the states of all other edges. LÄS MER
14. Essays on Financial Market Volatility
Sammanfattning : This thesis examines the volatility in the equity and short-term interest-rate markets, and the spillover from the short term interest rate market to the equity market. It consists of three papers and focuses on adapting and proposing models for the estimation and forecasting of financial market volatility. LÄS MER
15. Bayesian Modeling of Conditional Densities
Sammanfattning : This thesis develops models and associated Bayesian inference methods for flexible univariate and multivariate conditional density estimation. The models are flexible in the sense that they can capture widely differing shapes of the data. The estimation methods are specifically designed to achieve flexibility while still avoiding overfitting. LÄS MER