Sökning: "Branching stochastic processes"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Branching stochastic processes.
1. Multi-trait Branching Models with Applications to Species Evolution
Sammanfattning : This thesis provides an analysis of the evolution of discrete traits and their effect on the birth and survival of species using the theory of supercritical, continuous time Markov branching processes. We present a branching modeling framework that incorporates multi-trait diversification processes associated with the emergence of new species, death of existing species, and transition of species carrying one type of a trait to another. LÄS MER
2. Stochastic epidemics on random networks and competition in growth
Sammanfattning : The COVID-19 pandemic has dramatically demonstrated the importance of epidemic models in understanding and predicting disease spread and in assessing the effectiveness of interventions. The overarching topic of this thesis is stochastic epidemic modelling, with the main focus on the role of the underlying social structure in infectious disease spread. LÄS MER
3. Stochastic epidemics on random networks
Sammanfattning : This thesis considers stochastic epidemic models for the spread of epidemics in structured populations. The asymptotic behaviour of the models is analysed by using branching process approximations. The thesis contains four manuscripts. LÄS MER
4. Stochastic Models in Phylogenetic Comparative Methods: Analytical Properties and Parameter Estimation
Sammanfattning : Phylogenetic comparative methods are well established tools for using inter-species variation to analyse phenotypic evolution and adaptation. They are generally hampered, however, by predominantly univariate approaches and failure to include uncertainty and measurement error in the phylogeny as well as the measured traits. LÄS MER
5. Language-Based Techniques and Stochastic Models for Automated Testing
Sammanfattning : As software systems become bigger and scarier, automating their testing is crucial to ensure that our confidence in them can keep up with their growth. In this setting, Generational Fuzzing and Random Property-Based Testing are two sides of the same testing technique that can help us find bugs effectively without having to spend countless hours writing unit tests by hand. LÄS MER