Sökning: "Markov decision process"
Visar resultat 11 - 15 av 29 avhandlingar innehållade orden Markov decision process.
11. Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment
Sammanfattning : Mathematical models have proven valuable for public health decision makers as they can provide insights into the understanding, control and, ultimately, the prevention of diseases. This thesis contains four manuscripts dealing with stochastic dynamic modelling and statistical analysis of infectious disease spread and optimization of cancer treatment. LÄS MER
12. Reinforcement Learning and Dynamical Systems
Sammanfattning : This thesis concerns reinforcement learning and dynamical systems in finite discrete problem domains. Artificial intelligence studies through reinforcement learning involves developing models and algorithms for scenarios when there is an agent that is interacting with an environment. LÄS MER
13. 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
14. Health promotion and fall prevention for older people : impact, relevance and economic justification for decision making in a municipality context
Sammanfattning : Background: The proportion of older people is increasing and calls for a shift towards proactive approaches to support healthy ageing. The evidence base on health-promoting and preventive interventions (HPP) is promising in terms of maintaining health in older people, but for such interventions to have an impact on population health, translation of evidence to practice is crucial. LÄS MER
15. Probabilistic modeling in sports, finance and weather
Sammanfattning : In this thesis, we build mathematical and statistical models for a wide variety of real world applications. The mathematical models include applications in team sport tactics and optimal portfolio selection, while the statistical modeling concerns weather and specifically precipitation. LÄS MER