Sökning: "AIC"
Visar resultat 1 - 5 av 6 avhandlingar innehållade ordet AIC.
1. Model Selection and Sparse Modeling
Sammanfattning : 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. LÄS MER
2. Measuring the tactile sense: Cortical mechanisms and clinical applications of tactile direction discrimination
Sammanfattning : Most of the studies aiming to investigate the human tactile sense are done on the glabrous skin. Still, there is a need for a quantitative method for evaluating nervous function of the hairy skin. LÄS MER
3. Flexible parametric models for cancer patient survival : loss in expectation of life and further developments
Sammanfattning : Population-based cancer studies can contribute to a better understanding of cancer patient survival. The general aim of this thesis was to develop and apply statistical methods for population-based cancer studies to ensure understanding in this area. In any analysis setting, it is important that the statistical methods are appropriate. LÄS MER
4. Characterising and Modelling Urban Freight in Developing Economies
Sammanfattning : Urban freight systems in developing countries present significant challenges due to their complexity. Authorities often have inadequate institutional structures, making it difficult to identify and implement relevant initiatives. LÄS MER
5. Regularization for Sparseness and Smoothness : Applications in System Identification and Signal Processing
Sammanfattning : In system identification, the Akaike Information Criterion (AIC) is a well known method to balance the model fit against model complexity. Regularization here acts as a price on model complexity. LÄS MER
