Sökning: "Bayesian Statistics"

Visar resultat 6 - 10 av 75 uppsatser innehållade orden Bayesian Statistics.

  1. 6. LDPC DropConnect

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

    Författare :Xi Chen; [2023]
    Nyckelord :Bayesian approach; Machine learning; Coding theory; Measurement uncertainty; Algorithms; Bayesiansk metod; Maskininlärning; Kodningsteori; Mätosäkerhet; Algoritmer;

    Sammanfattning : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. LÄS MER

  3. 7. Application of Bootstrap in Approximate Bayesian Computation (ABC)

    Master-uppsats, Uppsala universitet/Statistik, AI och data science

    Författare :Ellinor Nyman; [2023]
    Nyckelord :ABC; Bootstrap; Computer intensive methods; Bayesian statistics; Linear regression;

    Sammanfattning : The ABC algorithm is a Bayesian method which simulates samples from the posterior distribution. In this thesis, the method is applied on both synthetic and observed data of a regression model. Under normal error distribution a conjugate prior and the likelihood function are used in the algorithm. LÄS MER

  4. 8. Spatial modeling with INLA for analysis of unequal care in Skåne

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Julia Wierzchoslawska; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The objective of this thesis is to extend on a previous analysis of health care accessibility for patients diagnosed with a chronic disease in Region Skåne. The previous analysis resulted in a logistic mixed effects model having municipality as a random effect and age as a first-degree spline-function. LÄS MER

  5. 9. 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

  7. 10. 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