Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"adaptive LASSO"”.
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Three essays in econometrics
… The third essay studies the benefit of using the adaptive lasso method for predictive quantile regression. The commonly used predictors in predictive quantile regression typically have various degrees of persistence, and exhibit different signal strengths in explaining the conditional quantiles of …
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Variable Selection for DNA Methylation Data Using Model-Based Clustering
… variable selection methods: linear regression, LASSO, and adaptive LASSO. No methylation sites were identified. This variable selection method is suitable for data preprocessing and will benefit next step association studies in terms of testing power.</p>
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Exploring Thriving of Inuit Youth Through an Engagement Lens: A Strengths-Based Focus on Factors Related to Nunavummiut Youth's Participation in a Psycho-Educational Mental Health Project
… data, while multiple linear regression and an adaptive lasso analysis extracted key factors from the quantitative data. The findings revealed multiple interrelated individual, contextual, relational, and cultural influences on youth’s engagement. Clinical and research implications are discussed.
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Production, efficiency and managerial selection of workers into peer networks
… <p>Lastly, the third chapter, entitled "Adaptive LASSO for Stochastic Frontier Models with Many Efficient Firms," develops a procedure to select a subset of maximally efficient firms in the sample of interest. In this model, firm inefficiency is measured as a distance from an estimated …
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Statistical Methods for Complex and/or High Dimensional Data
… response. In addition, MQME is combined with an adaptive Lasso penalty so it can select informative variables. We also propose an iterative algorithm to compute the MQME estimate, the consistency of which has been proved, as is the MQE. Numerical experiments on simulated and real datasets …
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The central role of stress relief in video gaming motivations and preferences
… factors, employing the machine learning-based adaptive LASSO technique to estimate a partial correlation matrix from a set of variables as a Pairwise Markov Random Field. Gamers higher in Immersion tended to play for escapism, distraction, and fantasy, while social gamers played for excitement, …
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Variable selection for high-dimensional complex data
… We show that the proposed method with the Lasso penalty and the SCAD penalty enjoys strong sign consistency in both finite-dimensional and high-dimensional settings under regularity conditions. Numerical studies and the ‘HapMap’ gene data application also confirm that the proposed method …