Sökning: "local stationarity"
Hittade 5 avhandlingar innehållade orden local stationarity.
1. Contributions to Numerical Solution of Stochastic Differential Equations
Sammanfattning : This thesis consists of four papers: Paper I is an overview of recent techniques in strong numerical solutions of stochastic differential equations, driven by Wiener processes, that have appeared the last then 10 years, or so. Paper II studies theoretical and numerical aspects of stochastic differential equations with so called volatility induced stationarity. LÄS MER
2. Numerical analysis for random processes and fields and related design problems
Sammanfattning : In this thesis, we study numerical analysis for random processes and fields. We investigate the behavior of the approximation accuracy for specific linear methods based on a finite number of observations. Furthermore, we propose techniques for optimizing performance of the methods for particular classes of random functions. LÄS MER
3. Bayesian networks: exact inference and applications in forensic statistics
Sammanfattning : Exact inference on Bayesian networks has been developed through sophisticated algorithms. One of which, the variable elimination algorithm, identifies smaller components of the network, called factors, on which local operations are performed. In principle this algorithm can be used on any Bayesian network. LÄS MER
4. Fertility, childcare and labour market : dynamics in time and space
Sammanfattning : Paper [I] focuses on the effects of time and space dynamics on the description offertility in Sweden. Fertility is an important determinant of long-term populationgrowth and labour market conditions. The influence of time dynamics inpostponing or accelerating childbearing is assessed by considering two differenteffects of earnings. LÄS MER
5. On Real-Time Optimization using Extremum Seeking Control and Economic Model Predictive Control : With Applications to Bioreactors and Paper Machines
Sammanfattning : Process optimization is used to improve the utility and the economic performance of industrial processes, and is as such central in most automation strategies. In this thesis, two feedback-based methods for online process optimization are considered: Extremum seeking control (ESC), a classic model-free method used for steady-state optimization which dates back to the early 1900's, and economic model predictive control (EMPC), a more recent method which utilizes a model to dynamically optimize the closed-loop process economics in real time. LÄS MER