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Showing result 1 - 5 of 1003 swedish dissertations matching the above criteria.
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1. Model Selection
Abstract : Before using a parametric model one has to be sure that it offers a reasonable description of the system to be modeled. If a bad model structure is employed, the obtained model will also be bad, no matter how good is the parameter estimation method. There exist many possible ways of validating candidate models. READ MORE
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2. Model Selection and Sparse Modeling
Abstract : Parametric signal models are used in a multitude of signal processing applications. This thesis deals with signals for which there are many candidate models, and it is not a priori known which model is the most appropriate one. READ MORE
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3. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments
Abstract : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. READ MORE
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4. eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics
Abstract : High-throughput experimental methods, such as DNA and protein microarrays, have become ubiquitous and indispensable tools in biology and biomedicine, and the number of high-throughput technologies is constantly increasing. They provide the power to measure thousands of properties of a biological system in a single experiment and have the potential to revolutionize our understanding of biology and medicine. READ MORE
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5. Covariate Model Building in Nonlinear Mixed Effects Models
Abstract : Population pharmacokinetic-pharmacodynamic (PK-PD) models can be fitted using nonlinear mixed effects modelling (NONMEM). This is an efficient way of learning about drugs and diseases from data collected in clinical trials. READ MORE