Search for dissertations about: "branching process stochastic"

Showing result 1 - 5 of 10 swedish dissertations containing the words branching process stochastic.

  1. 1. Stochastic epidemics on random networks

    Author : Abid Ali Lashari; Pieter Trapman; Filip Lindskog; Peter Neal; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Branching process; Configuration model; Random graph; Epidemic process; Final size; Threshold behaviour; Duration of an epidemic; Vaccination; Mathematical Statistics; matematisk statistik;

    Abstract : 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. READ MORE

  2. 2. Stochastic Models in Phylogenetic Comparative Methods: Analytical Properties and Parameter Estimation

    Author : Krzysztof Bartoszek; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Adaptation; Adaptation; Birth-death process; Branching diffusion; Brownian motions; Conditioned branching process; Evolution; General Linear Model; Hybridization; Macroevolution; Measurement error; Multivariate phylogenetic comparative method; Optimality; Ornstein-Uhlenbeck process; Phyletic gradualism; Phylogenetic inertia; Phylogenetic uncertainty; Punctuated equilibrium; Yule tree; Macroevolution;

    Abstract : 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. READ MORE

  3. 3. Multi-trait Branching Models with Applications to Species Evolution

    Author : Daniah Tahir; Ingemar Kaj; Martin Lascoux; Asger Hobolth; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Markov models; branching processes; density dependence; discrete traits; species trees; diversification rates; diffusion approximation;

    Abstract : 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. READ MORE

  4. 4. Stochastic epidemics on random networks and competition in growth

    Author : Carolina Fransson; Pieter Trapman; Daniel Ahlberg; Julia Komjathy; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; random graphs; branching processes; SIR epidemics; malthusian parameter; urn model; matematisk statistik; Mathematical Statistics;

    Abstract : 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. READ MORE

  5. 5. Language-Based Techniques and Stochastic Models for Automated Testing

    Author : Claudio Agustin Mista; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automated testing; software testing; stochastic methods; meta-programming; functional programming;

    Abstract : 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. READ MORE