Sökning: "high-dimension"
Visar resultat 1 - 5 av 9 avhandlingar innehållade ordet high-dimension.
1. Topics in discrete random structures
Sammanfattning : This thesis presents four papers on problems in discrete probability. A common theme of the articles is to take some class of discrete structures, impose some randomness, and then consider what happens asymptotically as the size of the structure tends to infinity. LÄS MER
2. Valid causal inference in high-dimensional and complex settings
Sammanfattning : The objective of this thesis is to consider some challenges that arise when conducting causal inference based on observational data. High dimensionality can occur when it is necessary to adjust for many covariates, and flexible models must be used to meet convergence assumptions. The latter may require the use of a novel machine learning estimator. 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. 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
5. Statistical Methods for Designed Experiments and Spectroscopic Data
Sammanfattning : This thesis consists of six papers related to saturated orthogonal designs, spectroscopic and high dimension data analysis. The first two papers deals with testing procedures for saturated orthogonal designs. Both the presented methods controls the multiple level of significance. LÄS MER