Sökning: "multiple imputation"

Visar resultat 1 - 5 av 14 avhandlingar innehållade orden multiple imputation.

  1. 1. Multiple Kernel Imputation : A Locally Balanced Real Donor Method

    Författare :Nicklas Pettersson; Daniel Thorburn; Susanne Rässler; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian Bootstrap; Boundary Effects; External Information; Kernel estimation features; Local Balancing; Pólya Sampling; statistik; Statistics;

    Sammanfattning : We present an algorithm for imputation of incomplete datasets based on Bayesian exchangeability through Pólya sampling. Each (donee) unit with a missing value is imputed multiple times by observed (real) values on units from a donor pool. The donor pools are constructed using auxiliary variables. LÄS MER

  3. 2. Statistical inference with deep latent variable models

    Författare :Najmeh Abiri; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Deep Learning; Generative Models; Variational Inference; Missing data; Imputation; Fysicumarkivet A:2019:Abiri;

    Sammanfattning : Finding a suitable way to represent information in a dataset is one of the fundamental problems in Artificial Intelligence. With limited labeled information, unsupervised learning algorithms help to discover useful representations. LÄS MER

  4. 3. Statistical modeling in international large-scale assessments

    Författare :Inga Laukaityte; Marie Wiberg; Kenny Bränberg; Ewa Rolfsman; Bernard Veldkamp; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; multilevel model; plausible values; sampling weights; missing information; multiple imputation; non-monotone missing pattern; TIMSS; PISA; Statistics; statistik; pedagogik; Education;

    Sammanfattning : This thesis contributes to the area of research based on large-scale educational assessments, focusing on the application of multilevel models. The role of sampling weights, plausible values (response variable imputed multiple times) and imputation methods are demonstrated by simulations and applications to TIMSS (Trends in International Mathematics and Science Study) and PISA (Programme for International Student Assessment) data. LÄS MER

  5. 4. Bayesian Cluster Analysis : Some Extensions to Non-standard Situations

    Författare :Jessica Franzén; Daniel Thorburn; Jukka Corander; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cluster analysis; Clustering; Classification; Mixture model; Gaussian; Bayesian inference; MCMC; Gibbs sampler; Deviant group; Longitudinal; Missing data; Multiple imputation; Statistics; Statistik; Statistics; statistik;

    Sammanfattning : The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite mixture model, where each component corresponds to one cluster and is given by a multivariate normal distribution with unknown mean and variance. LÄS MER

  7. 5. Female sex hormones and health outcomes in women with specific focus on asthma

    Författare :Guo-Qiang Zhang; Göteborgs universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; asthma; Bayesian estimation; case-control; causal inference; estrogens; female sex hormones; hormonal contraceptives; menarche; menopausal hormone therapy; menopause; meta-analysis; multiple imputation; progestogens; research reproducibility; robust variance estimation; systematic review; umbrella review; women;

    Sammanfattning : In humans, gender differences exist across a wide spectrum of diseases. For instance, women are more likely to develop Sjogren’s syndrome, systemic lupus erythematosus, and autoimmune thyroid disease compared to men. LÄS MER