Sökning: "Probabilistic modelling"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden Probabilistic modelling.

  1. 1. Modelling Long Term Memory in the Bayesian Confidence Neural Network Model

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Charu Karn; Samir Samahunov; [2023]
    Nyckelord :;

    Sammanfattning : Memory is a fascinating and complex part of human life. Understanding memory and simulating itthrough modelling can help society take steps towards understanding health issues such asAlzheimer's, dementia and amnesia. LÄS MER

  3. 2. Towards an open, automated, and reproducible synthetic population of Switzerland : A preparatory, modular pipeline for agent-based mobility simulations

    Master-uppsats, KTH/Transport och systemanalys

    Författare :David Micallef; [2023]
    Nyckelord :;

    Sammanfattning : This thesis explores the development of an automated re-synthesising tool, called EasySynth, to generate a Swiss synthetic population and travel diaries from publicly available data. The aim is to overcome the limitations of restricted-access real population data while maintaining control over anonymisation and statistical accuracy. LÄS MER

  4. 3. Dynamic Covariance Modelling Using Generalised Wishart Processes

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Fredrik Nilsson; [2023]
    Nyckelord :Covariance matrix; generalised Wishart process; Bayesian inference; Markov chain Monte Carlo; Hamiltonian Monte Carlo; Mathematics and Statistics;

    Sammanfattning : Modern portfolio theory was pioneered by Markowitz who formulated the mean-variance problem, without which any discussion on quantitative approaches to portfolio selection would be incomplete. The framework boils down to finding the expected return $\mu$ and covariance $\Sigma$, after which the solution is proportional to $\Sigma^{-1}\mu$. LÄS MER

  5. 4. Generating Synthetic CT Images Using Diffusion Models

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Salih Saleh; [2023]
    Nyckelord :Machine learning; artificial intelligence; generative models; diffusion models; MRI; CT; synthetic CT; radiation therapy;

    Sammanfattning : Magnetic resonance (MR) images together with computed tomography (CT) images are used in many medical practices, such as radiation therapy. To capture those images, patients have to undergo two separate scans: one for the MR image, which involves using strong magnetic fields, and one for the CT image which involves using radiation (x-rays). LÄS MER

  7. 5. Probabilistic settlement analysis for embankments using preloading without surcharge

    Master-uppsats, KTH/Jord- och bergmekanik

    Författare :Karl Escher; [2022]
    Nyckelord :Bayesian statistics; uncertainty; geotechnical risk evaluation; preloading; consolidation; embankments; ground improvement; dependence modelling.;

    Sammanfattning : Preloading without a surcharge is a common method for ground improvement. Thereare however uncertainties related to the number of site investigations and the partialfactor method has been identified as a problem. LÄS MER