Sökning: "reaction probability"
Visar resultat 11 - 15 av 63 avhandlingar innehållade orden reaction probability.
11. Model Studies of Electron Transfer and Reaction Dynamics at Surfaces
Sammanfattning : Charge-transfer is of key importance in many physical, chemical and biological processes, including surface reactions. This thesis consists of several theories for and model studies of surface reactions that are initiated by electron transfer between the surface to a molecule. LÄS MER
12. Assesing performance of PCR analysis using Bayesian modelling
Sammanfattning : Different analytical methods are available to analyse the DNA samples from crime scenes or to screen samples for the presence of some target bacterium. For this purpose a method known as Polymerase Chain Reaction (PCR) can often be used. LÄS MER
13. Kinetic Models in Life Science — Contributions to Methods and Applications
Sammanfattning : Kinetic models in life science combine mathematics and biology to answer questions from areas such as cell biology, physiology, biotechnology, and drug development. The idea of kinetic models is to represent a biological system by a number of biochemical reactions together with mathematical expressions for the reaction kinetics, i.e. LÄS MER
14. From experiments with images to 3D models
Sammanfattning : For developing the next generation sustainable materials, it is often crucial to understand and control their properties and function. This work presents cross-disciplinary research starting with experimentally fabricated porous soft biomaterials and images of their micro-structure obtained by electron or laser microscopy. LÄS MER
15. Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
Sammanfattning : This doctoral thesis in computational statistics utilizes both Monte Carlo methods(approximate Bayesian computation and sequential Monte Carlo) and machine-learning methods (deep learning and normalizing flows) to develop novel algorithms for inference in implicit Bayesian models. Implicit models are those for which calculating the likelihood function is very challenging (and often impossible), but model simulation is feasible. LÄS MER