Essays about: "variable selection methods"
Showing result 16 - 20 of 55 essays containing the words variable selection methods.
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16. Variable Selection in High-Dimensional Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Estimating the variables of importance in inferentialmodelling is of significant interest in many fields of science,engineering, biology, medicine, finance and marketing. However,variable selection in high-dimensional data, where the number ofvariables is relatively large compared to the observed data points,is a major challenge and requires more research in order toenhance reliability and accuracy. READ MORE
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17. Comparing Variable Selection Algorithms On Logistic Regression – A Simulation
University essay from Uppsala universitet/Statistiska institutionenAbstract : When we try to understand why some schools perform worse than others, if Covid-19 has struck harder on some demographics or whether income correlates with increased happiness, we may turn to regression to better understand how these variables are correlated. To capture the true relationship between variables we may use variable selection methods in order to ensure that the variables which have an actual effect have been included in the model. READ MORE
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18. The influence of dissolution medium on in vitro dissolution profiles for pulmonary drug delivery
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : Today, orally inhaled drugs found on the market suffer from variable and discontinuous pulmonary drug release which lowers efficacy and patience compliance. This is usually a consequence of the poor understanding of the interaction and dissolution behavior of drug particles in the lung environment. READ MORE
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19. Subsampling Strategies for Bayesian Variable Selection and Model Averaging in GLM and BGNLM
University essay from Stockholms universitet/Statistiska institutionenAbstract : Bayesian Generalized Nonlinear Models (BGNLM) offer a flexible alternative to GLM while still providing better interpretability than machine learning techniques such as neural networks. In BGNLM, the methods of Bayesian Variable Selection and Model Averaging are applied in an extended GLM setting. READ MORE
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20. Tidying up the factor zoo: Using machine learning to find sparse factor models that predict asset returns.
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : There exist over 300 firm characteristics that provide significant information about average asset return. John Cochrane refers to this as a “factor zoo” and challenges researchers to find the independent characteristics which can explain average return. READ MORE
