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Showing 1 to 5 of 5 for “"Stock market analysis"”.

  1. Information theoretic measure of complexity and stock market analysis : using the JSE as a case study

    … that are traditionally used for regression analysis, ICOMP takes into account the interdependencies of the parameter estimates. This paper is divided into two parts. In the first part we compare and contrast ICOMP with AIC and other AIC type selection criterion for model selection in …

    cape-town Repository record for Information theoretic measure of complexity and stock market analysis : using the JSE as a case study (opens in a new tab)

  2. Prédiction de la tendance des actions basée sur les réseaux convolutifs graphiques et les LSTM

    As stocks have been developing over decades, the trend and the price of a stock are more often used for predictions in stock market analysis. In the field of finance, an accurate stock future trending can not only help decision-makers estimate the possibility of profit, but also help them avoid …

    sherbrooke Repository record for Prédiction de la tendance des actions basée sur les réseaux convolutifs graphiques et les LSTM (opens in a new tab)

  3. Machine learning methods based on diffusion processes

    … mining, tumor somatic mutation imputation, and stock market analysis. The improvement in classification accuracy compared with kernels based on Euclidean geometry may arise from ameliorating the curse of dimensionality on compact manifolds. Second, the effective dissimilarity transformation …

    uiuc Repository record for Machine learning methods based on diffusion processes (opens in a new tab)