Sökning: "Likelihood based methods"
Visar resultat 21 - 25 av 237 avhandlingar innehållade orden Likelihood based methods.
21. Development of in silico methods to aid chemical risk assessment : focusing on kinetic interactions in mixtures
Sammanfattning : The environment and biota are constantly exposed to numerous chemicals through contaminated food, soil, water, and air. These chemicals can be taken up and distributed to reach sensitive tissues where they may cause various effects. Many of these chemicals lack data on their environmental and human health effects. LÄS MER
22. Model-Based Hypothesis Testing in Biomedicine : How Systems Biology Can Drive the Growth of Scientific Knowledge
Sammanfattning : The utilization of mathematical tools within biology and medicine has traditionally been less widespread compared to other hard sciences, such as physics and chemistry. However, an increased need for tools such as data processing, bioinformatics, statistics, and mathematical modeling, have emerged due to advancements during the last decades. LÄS MER
23. Secure GNSS-based Positioning and Timing : Distance-Decreasing attacks, fault detection and exclusion, and attack detection with the help of opportunistic signals
Sammanfattning : With trillions of devices connected in large scale systems in a wired or wireless manner, positioning and synchronization become vital. Global Navigation Satellite System (GNSS) is the first choice to provide global coverage for positioning and synchronization services. LÄS MER
24. A room designed for caring : Experiences from an evidence-based designed intensive care environment
Sammanfattning : Aim: The overall aim of this doctoral thesis was to examine and evaluate if and how an intensive care unit (ICU) room, which had been designed using the principles of evidence-based design (EBD), impacted the safety, wellbeing and caring for patients, their family members and staff.Methods: Paper I explored the nursing staff experiences of working in an EBD intensive care patient room through 13 interviews that were analysed by qualitative content analysis. LÄS MER
25. Novel likelihood-based inference techniques for sequential data with medical and biological applications
Sammanfattning : The probabilistic approach is crucial in modern machine learning, as it provides transparency and quantification of uncertainty. This thesis is concerned with the probabilistic building blocks, i.e., probabilistic graphical models (PGM) followed by application of standard deterministic approximate inference, i. LÄS MER