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Showing 1 to 3 of 3 for “"Least Absolute Selection and Shrinkage Operator (LASSO)"”.

  1. The LASSO linear mixed model for mapping quantitative trait loci

    … of calves, which affects both animal production and welfare through correlated effects on parturition and subsequent growth. Birth weight was one of the traits measured in the Davies' Gene Mapping Project. These data form the motivation for the methods presented in this thesis. Multiple QTL …

    adelaide Repository record for The LASSO linear mixed model for mapping quantitative trait loci (opens in a new tab)

  2. Varying Coefficients in Logistic Regression with Applications to Marketing Research

    … consumers. Researchers study this data to understand how outside factors, such as demographics and marketing tools, affect the probability that a given consumer will make a purchase. Through the use of panel data, we tackle these questions and propose a logistic regression model in which …

    uiuc Repository record for Varying Coefficients in Logistic Regression with Applications to Marketing Research (opens in a new tab)

  3. Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement

    Many variable selection methods are available for linear regression but very little has been developed for quantile regression, especially for the censored problems. This study will look at the possibilities of utilizing some existing penalty variable selection methods on censored quantile …

    uiuc Repository record for Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement (opens in a new tab)