Search for dissertations about: "Clustered regression analysis"

Showing result 1 - 5 of 13 swedish dissertations containing the words Clustered regression analysis.

  2. 1. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    Author : Ted Kronvall; Statistical Signal Processing Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE

  4. 2. Correlated random effects models for clustered survival data

    Author : Frank Eriksson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; competing risks; case-cohort; semiparametric; Survival analysis; random effects; routine register; frailty model; Survival analysis; frailty model; competing risks; random effects; case-cohort; routine register; semiparametric;

    Abstract : Frailty models are frequently used to analyse clustered survival data in medical contexts. The frailties, or random effects, are used to model the association between individual survival times within clusters. READ MORE

  5. 3. Subspace Selection Techniques for Classification Problems

    Author : David Lindgren; Lennart Ljung; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Linear subspaces for regression; Asymetric classification; Subspace parameterization; Clustered regression analysis;

    Abstract : The main topic of this thesis is linear subspaces for regression - how to find the subspaces and how to evaluate them. The motivation to do regression in a subspace is numerical as well as computational - numerical in the sense that the subspace can filter out the relevant components or features of the problem, computationally in the sense that this filtering can be done quickly and then can nonlinear predictionby artificial neural networks, for instance, be conducted in lower dimensionality. READ MORE

  6. 4. Semiparametric survival models for routine register data

    Author : Frank Eriksson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Survival; transformation; clustered; likelihood; random effects; case-cohort; routine register; semiparametric; clustered;

    Abstract : Routine registers offer researchers opportunities to carry out studies of covariate effects on lifetimes of rare diseases otherwise infeasible because of the large cohorts required. Familial relationships necessary for analysis of environmental or genetic factors can be identified by record linking. READ MORE

  7. 5. Efficient design and analysis of extended case-control studies

    Author : Bénédicte Delcoigne; Karolinska Institutet; Karolinska Institutet; []
    Keywords : ;

    Abstract : The nested case-control design is widely used in epidemiology for its efficiency, as it combines the advantages of both cohort and case-control designs. This design is an extension of the matched case-control design, where the matching variable is the time of occurrence of the outcome. READ MORE