Search for dissertations about: "statistical models."

Showing result 1 - 5 of 895 swedish dissertations containing the words statistical models..

  2. 1. Models in Neutrino Physics : Numerical and Statistical Studies

    Author : Johannes Bergström; Tommy Ohlsson; Pilar Hernandez; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Neutrino mass; lepton mixing; Majorana neutrinos; neutrino oscillations; neutrinoless double beta decay; statistical methods; Bayesian inference; model selection; effective field theory; Weinberg operator; seesaw models; inverse seesaw; right-handed neutrinos; renormalization group; threshold effects.; Neutrinomassor; leptonblandning; Majorananeutriner; neutrinooscillationer; neutrinol¨ost dubbelt betas¨onderfall; statistiska metoder; Bayesisk inferens; modellval; effektiv f¨altteori; Weinbergoperator; seesawmodeller; invers seesaw; högerhänta neutriner; renormeringsgrupp; tröskeleffekter.;

    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

  4. 2. Statistical modeling and design in forestry : The case of single tree models

    Author : Leakemariam Berhe; Göran Arnoldsson; Göran Broström; Dieter Rasch; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Forest data; Covariance structures; Nonlinear mixed effects models; Tree taper models; Ds-optimal design; Replication-free design.; Statistics; Statistik;

    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

  5. 3. Statistical analysis of metagenomic data

    Author : Viktor Jonsson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Metagenomics; Statistical methods; Hierarchical Bayesian models; Statistical power; False discovery rate; Environmental genomics; Generalized linear models; Count data; Environmental genomics;

    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

  6. 4. Towards Intelligent Deformable Models for Medical Image Analysis

    Author : Ghassan Hamarneh; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; shape modeling; deformable models; principal component analysis; echocardiography; snakes; active shape models; deformable spatio-temporal shape models; medial-based shape profiles; statistical shape variation; spatio-temporal shape analysis; magnetic resonance imaging; hierarchical regional principal component analysis; oral lesions; dynamic programming; segmentation; spring-mass model; shape deformation; optical flow; medical image analysis; artificial life; physics-based modeling; deformable organisms; digital color images; medial axis; active contour models;

    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

  7. 5. Hidden Markov models : Identification, control and inverse filtering

    Author : Robert Mattila; Bo Wahlberg; Eric Moulines; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden markov models; system identification; method of moments; inverse filtering; abdominal aortic aneurysm; medical; markov decision process; structure; Electrical Engineering; Elektro- och systemteknik;

    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