Sökning: "Bayesian Statistics"

Visar resultat 1 - 5 av 75 uppsatser innehållade orden Bayesian Statistics.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  2. 2. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Markus Gerholm; Johan Sörstadius; [2024]
    Nyckelord :Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

    Sammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER

  3. 3. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ansar Siddiqui; [2023]
    Nyckelord :;

    Sammanfattning : Simulation models are often used to study a system or phenomenon. However, before a simulation model can be used, its parameter needs to be fit to mimic observed data. This is called the parameter inference problem. LÄS MER

  4. 4. Approximate Bayesian Computation for Data-Driven Epidemiological Models

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Christoph Nötzli; [2023]
    Nyckelord :;

    Sammanfattning : Epidemiological models can help us to understand the spread of pathogens in a population. Fitting these mathematical models to epidemiological data can be a difficult task due to uncertain or missing data. LÄS MER

  5. 5. Den historiskt bästa Formel-1 föraren

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Claes Croneborg; Viktor Sjöberg; [2023]
    Nyckelord :Formula One; Multilevel-Model; Beta-Regression; Bayesian Estimation; Monte-Carlo simulation; Markov Chain; Statistics.; Business and Economics; Mathematics and Statistics;

    Sammanfattning : It is difficult to definitively say who the greatest Formula One driver is. It is a subjective assessment and can depend on a variety of factors, including the driver’s skill, their results and accomplishments, their team and car, and the era in which they competed. LÄS MER