Sökning: "hierarchical generalized linear model"

Hittade 4 avhandlingar innehållade orden hierarchical generalized linear model.

  1. 1. Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation

    Författare :Xia Shen; Örjan Carlborg; Lars Rönnegård; William Hill; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; statistical genetics; quantitative trait loci; genome-wide association study; genomic selection; genetic variance; hierarchical generalized linear model; linear mixed model; random effect; heteroscedastic effects model; variance-controlling genes; Complex Systems – Microdata Analysis;

    Sammanfattning : This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. LÄS MER

  3. 2. Statistical analysis of metagenomic data

    Författare :Viktor Jonsson; Göteborgs universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  4. 3. Statistical genetic analysis of family data

    Författare :Benjamin H Yip; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :Variance component; ascertainment; population-based family data; Generalized linear mixed model; binary trait; quantitative genetics;

    Sammanfattning : The importance of genetic determinants and risk factors of diseases has been consistently recognized in genetic epidemiology, which is one of the fastest growing areas in genomic medicine. Familial clustering is a common characteristic of genetic related phenotypes, providing vital insights into the etiology of diseases by establishing the relative contribution of genetic and environmental factors. LÄS MER

  5. 4. Bayesian inference for high dimensional factor copula models

    Författare :Hoang Nguyen; Maria Conception Ausin Olivera; Pedro Galeano San Miguel; Universidad Carlos III de Madrid; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Copulas have been applied to many research areas as multivariate probability distributions for non-linear dependence structures. However, extending copula functions in high dimensions is challenging due to the increase of model parameters and computational intensity. LÄS MER