Search for dissertations about: "statistical models"
Showing result 1 - 5 of 883 swedish dissertations containing the words statistical models.
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1. Models in Neutrino Physics : Numerical and Statistical Studies
Abstract : The standard model of particle physics can excellently describe the vast majorityof data of particle physics experiments. However, in its simplest form, it cannot account for the fact that the neutrinos are massive particles and lepton flavorsmixed, as required by the observation of neutrino oscillations. READ MORE
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2. Statistical modeling and design in forestry : The case of single tree models
Abstract : Forest quantification methods have evolved from a simple graphical approach to complex regression models with stochastic structural components. Currently, mixed effects models methodology is receiving attention in the forestry literature. READ MORE
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3. Statistical analysis of metagenomic data
Abstract : Metagenomics is the study of microbial communities on the genome level by direct sequencing of environmental and clinical samples. Recently developed DNA sequencing technologies have made metagenomics widely applicable and the field is growing rapidly. READ MORE
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4. Towards Intelligent Deformable Models for Medical Image Analysis
Abstract : Medical imaging continues to permeate the practice of medicine, but automated yet accurate segmentation and labeling of anatomical structures continues to be a major obstacle to computerized medical image analysis (MIA). Deformable models, with its profound roots in estimation theory, optimization, and physics-based dynamical systems, represent a powerful approach to the general problem of medical image segmentation. READ MORE
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5. Hidden Markov models : Identification, control and inverse filtering
Abstract : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. READ MORE