Recent Submissions

  • Dilaton Theory and some of its Applications 

    Mehrabi, Mohammadhossein (2024-07-04)
    The purpose of this thesis is to explain some results in dilation theory. In this regard, it has been given the principal results and ideas on positive maps and dilation theory such as Nagy’s theorem, von Neumann’s ...
  • Quantum Graphs: Different Perspectives 

    Stancevic, Dejan (2024-07-04)
    In this thesis, we investigate two different notions of quantum graphs. The first approach is through quantum adjacency matrices, while, the second approach is through bimodules over finite-dimensional algebras. We ...
  • Data Augmentation for Point Process Learning 

    Rost, Mathis (2024-07-03)
    This thesis introduces and evaluates ideas for the use of data augmentation in the area of Point Process Learning. Motivated by the regularizing effect of training with augmented data sets, we create a follow-up work to ...
  • Point Process Learning estimation of bandwidth selection for the pair correlation function 

    Östling, Jens (2024-06-25)
    In this master thesis I use the newly developed method of Point Process Learning (PPL) to select the bandwidth used when estimating the Pair correlation function with kernel estimation. The selection of bandwidth when ...
  • Low-lying zeroes of L-functions attached to modular forms 

    Söderberg, Alf (2024-03-22)
    We study the family of L-functions attached to Hecke newforms of weight k and level N and their low-lying zeroes. First, we recall the Density Conjecture of Katz and Sarnak and how it predicts the behaviour of the low-lying ...
  • Reconstructing point patterns from spatially aggregated data 

    Michelsen, Jens (2024-03-13)
    In this thesis we explore the ability to reconstruct samples (point configurations) from a point process, based only on the information contained in spatially aggregated data, namely the number of points in the partitions ...
  • Do viscous flows slip? 

    Sjösvärd, Björn (2023-12-21)
    In this thesis, the Stokes equation is discussed and solved under different boundary conditions. The Stokes equation governs the flow of viscous liquids, for example honey or syrup. The first chapters in the thesis ...
  • Audio Anomaly Detection in Cars 

    Hussein, Asma (2023-09-11)
    Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio ...
  • Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden 

    Andreeva, Natalia (2023-08-23)
    Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of ...
  • Regulatory Driven Clustering of Single-Cell Data; Clustering of single-cell RNA sequencing from glioblastoma with a novel mathematical method 

    Kristjánsson, Kári (2023-08-08)
    Cancer is a leading cause of death worldwide. Single-cell RNA sequencing has arisen as an important method to explore the gene expression of biological cells, including cancer cells. In this study, we deployed a computational ...
  • Credit Card Fraud Detection by Nearest Neighbor Algorithms 

    Maghsood, Ramin (2023-04-13)
    As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of ...
  • Point process learning for non-parametric intensity estimation with focus on Voronoi estimation 

    Thorén, Alexander (2023-03-28)
    Point process learning is a new statistical theory that gives us a way to estimate parameters using cross-validation for point processes. By thinning a point pattern we are able to create training and validation sets ...
  • The low-lying zeros of L-functions associated to non-Galois cubic fields 

    Ahlquist, Victor (2023-02-13)
    We study the low-lying zeros of Artin L-functions associated to non-Galois cubic number fields through their one- and two-level densities. In particular, we find new precise estimates for the two-level density with a ...
  • Decision Policies for Early Stage Clinical Trials with Multiple Endpoints 

    López Juan, Víctor (2022-11-11)
    Before a drug can be prescribed to patients, it must be shown to be safe and effective for a certain indication in a controlled clinical trial (known as Phase III). Such studies are costly to run and expose patients to ...
  • Modelling the effect of multimodal pain rehabilitation 

    Grönkvist, Rode (2022-09-21)
    Chronic pain is a cause of suffering in a large share of the population and a leading public health problem. Multimodal pain rehabilitation (MMR) is a multidisciplinary rehabilitation method commonly used to treat chronic ...
  • Investigation of portfolio strategies by means of simulation 

    Schälin, Alexander (2022-07-01)
    Portfolio insurance strategies are constructed to limit an investors loss but still reward them when the market goes up. In this thesis we compare two portfolio insurance strategies, Constant proportion portfolio insurance ...
  • Cluster KL-UCB: Optimism for the Best, Pessimism for the Rest 

    Lööf, Emelie (2022-06-28)
    The project presents an allocation strategy for the stochastic multi armed bandit when considering instances with a clustered structure. Using the architecture of the KL-UCB policy as a source of inspiration, an algorithm ...
  • Artificial Intelligence for Option Pricing 

    Hietanen, Emil (2022-06-19)
    This thesis addresses the issue of vulnerable underlying assumptions used in option pricing methodology. More precisely; underlying assumptions made on the financial assets and markets make option pricing theory vulnerable ...
  • Machine Learning for NCC's Concrete Pile Production 

    Pohl, Konrad (2021-09-17)
    In this thesis, the usefulness of machine learning (ML) is evaluated for the processes of NCC's subsidiary company Hercules. It is evaluated with regard to ML's ability to assist reduction of CO2 footprint and costs. The ...
  • Knowing a Thousand Formulas Is Not The Same as Knowing Mathematics 

    Wahl, Kajsa (2021-09-07)
    This research is about how students at different levels of mathematical studies view, understand and study mathematics. The research is based on two theories on mathematical understanding, James Hiebert and Patricia ...

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