Sökning: "stokastisk process"
Visar resultat 6 - 10 av 42 uppsatser innehållade orden stokastisk process.
6. Approximating Quasistationary Distributions Using Deep Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : We study a class of It\={o} diffusion processes on domains with smooth boundary, at which the process is killed. Such a process, when conditioned on non-extinction, gives rise to a stationary state known as a \emph{quasistationary distribution} (QSD). LÄS MER
7. On Merton's Portfolio Problem : A Stochastic Optimal Control Problem
Kandidat-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The purpose of this thesis is to examine and solve a classic financial optimization problem known as Merton’s Portfolio Problem. The problem is driven by a stochastic process and can thereby be classified as a stochastic optimal control problem. LÄS MER
8. Approximation of General Semi-Markov Models Using Expolynomials
Master-uppsats, KTH/Matematisk statistikSammanfattning : Safety analysis is critical when developing new engineering systems. Many systems have to function under randomly occurring events, making stochastic processes useful in a safety modelling context. However, a general stochastic process is very challenging to analyse mathematically. LÄS MER
9. Development of Swarm Traffic Algorithms : Road detection within an ellipse
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The latest trends in autonomous vehicles research gave rise to the needs for specific tools to validate and test such systems. The estimations state that to consider an autonomous vehicle statistically safe, it should drive for thousands of kilometres using traditional validation methods. This process would take a long time. LÄS MER
10. Pricing Complex derivatives under the Heston model
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The calibration of model parameters is a crucial step in the process of valuation of complex derivatives. It consists of choosing the model parameters that correspond to the implied market data especially the call and put prices. LÄS MER