Sökning: "Bayesian optimisation"
Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Bayesian optimisation.
1. 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
2. Optimisation of Clinical Trials using Bayesian Decision Theory
Sammanfattning : A decision maker confronted with the task of designing a clinical trial has to consider a multitude of aspects. Large trials lead to more evidence,which in turn makes it less likely that harmful decisions are taken when deciding on future treatments for patients. LÄS MER
3. Prognostics and Health Management of Engineering Systems for Operation and Maintenance Optimisation
Sammanfattning : Prognostics and health management (PHM) is an engineering discipline that aims to maintain system behaviour and function and ensure mission success, safety and effectiveness. Prognostics is defined as the estimation of remaining useful life. LÄS MER
4. On the Optimisation and Regulation of Clinical Trials
Sammanfattning : The basic premise of this thesis is that Bayesian Decision Theory (BDT) can and should be used to solve clinical trial design problems. While the flexibility of the framework allows for accommodating a great variety of situations, it also requires an explicit consideration of the gains and costs associated with the trial. LÄS MER
5. Sequential Monte Carlo for inference in nonlinear state space models
Sammanfattning : Nonlinear state space models (SSMs) are a useful class of models to describe many different kinds of systems. Some examples of its applications are to model; the volatility in financial markets, the number of infected persons during an influenza epidemic and the annual number of major earthquakes around the world. LÄS MER