Sökning: "Penalized Regression"
Hittade 5 avhandlingar innehållade orden Penalized Regression.
1. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms
Sammanfattning : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. LÄS MER
2. Generalized survival models as a tool for medical research
Sammanfattning : In medical research, many studies with the time-to-event outcomes investigate the effect of an exposure (or treatment) on patients’ survival. For the analysis of time-to-event or survival data, model-based approaches have been commonly applied. LÄS MER
3. Identification of pathophysiological and prognostic biomarkers in different types of myocardial infarction
Sammanfattning : The pathophysiological mechanisms of myocardial infarction (MI) with non-obstructive coronary arteries (MINOCA) are largely unknown. Analogous, differences in pathobiology between ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) are incompletely understood. LÄS MER
4. Latent variable models for multivariate survival and count data
Sammanfattning : This thesis consists of three papers on multivariate frailty models and one paper on the use of latent class models in genetic association studies. The common theme through the four papers is the use of latent variables to capture complex dependence structures in the data. LÄS MER
5. Between open systems and closed doors : the needs and perceptions of parents of children with cognitive disabilities in educational settings
Sammanfattning : This thesis consists of three papers on multivariate frailty models and one paper on the use of latent class models in genetic association studies. The common theme through the four papers is the use of latent variables to capture complex dependence structures in the data. LÄS MER