Sökning: "precision matrix"
Visar resultat 1 - 5 av 61 avhandlingar innehållade orden precision matrix.
1. Assessing precision and accuracy in acoustic scattering matrix measurements
Sammanfattning : Acoustic scattering matrices are used to characterize the influence of inline duct elements on the acoustic wave propagation in wave guides.When measuring the properties of these matrices, errors are always present in the results and need to be characterized to make valid statements on the correspondence between model predictions and measurements. LÄS MER
2. Network models with applications to genomic data: generalization, validation and uncertainty assessment
Sammanfattning : The aim of this thesis is to provide a framework for the estimation and analysis of transcription networks in human cancer. The methods we develop are applied to data collected by The Cancer Genome Atlas (TCGA) and supporting simulations are based on derived models in order to reflect real data structure. LÄS MER
3. Comparative network analysis of human cancer: sparse graphical models with modular constraints and sample size correction
Sammanfattning : In the study of transcriptional data for different groups (e.g. cancer types) it's reasonable to assume that some dependencies between genes on a transcriptional or genetic variants level are common across groups. Also, that this property is preserved locally, thus defining a modular structure in the model networks. LÄS MER
4. Precision Standard Model Phenomenology for High Energy Processes
Sammanfattning : The present status of particle physics is that the Standard Model has been completed with the discovery of theHiggs boson in 2012, but there is a multitude of phenomena in nature which is not accounted for by this model.Researchers are investigating possibilities for detecting new physics at the current particle physics facilities, withthe Large Hadron Collider (LHC) at the frontier. LÄS MER
5. Bayesian methods for sparse and low-rank matrix problems
Sammanfattning : Many scientific and engineering problems require us to process measurements and data in order to extract information. Since we base decisions on information,it is important to design accurate and efficient processing algorithms. This is often done by modeling the signal of interest and the noise in the problem. LÄS MER