• Predicting equity movements using structural models of debt pricing and statistical learning 

      Singh, Kiran Ryan (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : Valuation is not an interesting problem in corporate finance, it is the only problem. Price and value are assumed to be the same number in economic theories of equilibrium and perfect capital markets. The ...
    • Preconditioning for feature selection in classification 

      Pretorius, Jani (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : Increased dimensionality of data is a clear trend that has been observed over the past few decades. However, analysing high-dimensional data in order to predict an outcome can be problematic. In certain ...
    • Markov modelling of disease progression in the presence of missing covariates 

      Kotze, Loamie (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : Breast cancer is a very prevalent cancer amongst women. The stages of breast cancer are influenced by characteristics such as age, hormone receptor statuses, HER2 status and staging information (TNM ...
    • Investigation into the appropriateness of the South African microinsurance solvency capital regulation 

      Melville, William George (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH ABSTRACT : In South Africa, there are two different regulatory capital requirement options for insurers selling microinsurance products. The first is the capital requirement for traditional insurers under the ...
    • Improving hyperplane based density clustering solutions with applications in image processing 

      Kenyon, Jacob Bradley (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : Minimum Density Hyperplane (MDH) clustering is a recently proposed method that seeks the location of an optimal low-density separator by directly minimising the integral of the empirical density function ...
    • Deep learning for tabular data : an exploratory study 

      Marais, Jan Andre (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : From about 2006, deep learning has proven to be very successul in application areas such as computer vision, natural language processing, speech and audio recognition, machine translation, bioinformatics, ...
    • Classification in high dimensional data using sparse techniques 

      Stulumani, Agrippa (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : Traditional classification techniques fail in the analysis of high-dimensional data. In response, new classification techniques and accompanying theory have recently emerged. These techniques are natural ...
    • Application of statistics and machine learning in healthcare 

      Van der Merwe, Schalk Gerhardus (Stellenbosch : Stellenbosch University, 2019-04)
      ENGLISH SUMMARY : Clinical performance and cost efficiency are key focus areas in the healthcare industry, since providing quality and affordable healthcare is a continuing challenge. The goal of this research is to use ...