Recent Submissions

  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Ensemble methods in multi-label classification 

    Muller, Annegret (Stellenbosch : Stellenbosch University, 2018-12)
  • An application of copulas to improve PCA biplots for multivariate extremes 

    Perrang, Justin (Stellenbosch : Stellenbosch University, 2018-12)
    ENGLISH SUMMARY : Principal Component Analysis (PCA) biplots is a valuable means of visualising high dimensional data. The application of PCA biplots over a wide variety of research areas containing multivariate data is ...
  • Stock market participation in the European Union 

    Burger, Nadia Cornelia (Stellenbosch : Stellenbosch University, 2018-12)
    ENGLISH SUMMARY : Understanding why most people shy away from stock market participation, both on individual and country level, is very important. Stock market participation explains consumption smoothing and this in turn ...
  • The application and testing of smart beta strategies in the South African market 

    Viljoen, Jacobus (Stellenbosch : Stellenbosch University, 2018-03)
    ENGLISH SUMMARY: Smart Beta portfolios have recently prompted great interest both from academic researchers and market practitioners. Investors are attracted by the performances produced by these portfolios compared to the ...
  • Extreme value-based novelty detection 

    Steyn, Matthys Lucas (Stellenbosch : Stellenbosch University, 2017-12)
    ENGLISH SUMMARY : This dissertation investigates extreme value-based novelty detection. An in-depth review of the theoretical proofs and an analytical investigation of current novelty detection methods are given. It is ...
  • Aspects of multi-class nearest hypersphere classification 

    Coetzer, Frances (Stellenbosch : Stellenbosch University, 2017-12)
    ENGLISH SUMMARY : Using hyperspheres in the analysis of multivariate data is not a common practice in Statistics. However, hyperspheres have some interesting properties which are useful for data analysis in the following ...
  • Statistical classification in high-dimensional scenarios with a focus on microarray data sets 

    Rodseth, Tessa Louise (2017-12)
    ENGLISH SUMMARY : High-dimensional data analysis characterises many contemporary problems in statistics and arise in many application areas. This thesis focuses on very high-dimensional problems in which the input predictor ...
  • Predicting tomato crop yield from weather data using statistical learning techniques 

    De Villiers, Margaret (Stellenbosch : Stellenbosch University, 2017-03)
    ENGLISH SUMMARY : Predicting crop harvest quantities accurately is important in managing a farming enterprise effectively, facilitating decisions regarding crop management, allocation of resources, anticipated delivery ...
  • Credit and debit value adjustment estimations in the data sparse South African market 

    De Jager, Louis Porter (Stellenbosch : Stellenbosch University, 2017-03)
    ENGLISH SUMMARY : During 2014, the International Accounting Standards Board (IASB) implemented a new standard for measuring the fair value of assets through the International Financial Reporting Standards (IFRS) 13 guidance. ...
  • L-classifier chains classification and variable selection for multi-label datasets 

    Du Toit, Monika (Stellenbosch : Stellenbosch University, 2016-12)
    ENGLISH SUMMARY : Multi-label classification extends binary and multi-class classification to scenarios where every data case is assigned several labels simultaneously. Applications include labelling images with tags, ...
  • Statistical classification procedures for analyisng functional data 

    Orsmond, Chane (Stellenbosch : Stellenbosch University, 2016-12)
    ENGLISH SUMMARY : Functional data are obtained through the measurement of one or more variables at a set of discrete evaluation points over a continuum such as time, wavelength or values of a spatial variable. Functional ...
  • An application of geometric data analysis techniques to South African crime data 

    Gurr, Benjamin William (Stellenbosch : Stellenbosch University, 2016-12)
    ENGLISH SUMMARY : Due to the high levels of violent crime in South Africa, improved methods of analysis are required in order to better scrutinize these statistics. This study diverges from traditional multivariate data ...

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