Sökning: "Statistics and numerical data"

Visar resultat 1 - 5 av 89 avhandlingar innehållade orden Statistics and numerical data.

  1. 1. Information-Theoretic Generalization Bounds: Tightness and Expressiveness

    Författare :Fredrik Hellström; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; information theory; neural networks; generalization; statistical learning; meta learning; PAC-Bayes; Machine learning;

    Sammanfattning : Machine learning has achieved impressive feats in numerous domains, largely driven by the emergence of deep neural networks. Due to the high complexity of these models, classical bounds on the generalization error---that is, the difference between training and test performance---fail to explain this success. LÄS MER

  2. 2. Development and Evaluation of Nonparametric Mixed Effects Models

    Författare :Paul Baverel; Mats Karlsson; Radojka Savic; Nils Hoem; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; nonparametric; model; pharmacometrics; pharmacokinetics; pharmacodynamic; imprecision; covariate analysis; parameter distribution; Statistics; computer and systems science; Statistik; data- och systemvetenskap; Pharmaceutical pharmacology; Farmaceutisk farmakologi; Biopharmaceutics; Biofarmaci; Clinical Pharmacology; Klinisk farmakologi; Computer Systems; Datorteknik; Farmakologi; Pharmacology; Statistics; Statistik;

    Sammanfattning : A nonparametric population approach is now accessible to a more comprehensive network of modelers given its recent implementation into the popular NONMEM application, previously limited in scope by standard parametric approaches for the analysis of pharmacokinetic and pharmacodynamic data. The aim of this thesis was to assess the relative merits and downsides of nonparametric models in a nonlinear mixed effects framework in comparison with a set of parametric models developed in NONMEM based on real datasets and when applied to simple experimental settings, and to develop new diagnostic tools adapted to nonparametric models. LÄS MER

  3. 3. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference

    Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Jukka Corander; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quantitative trait loci; genome-wide association studies; hidden Markov models; numerical optimization; linkage analysis; haplotype inference; genotype imputation; high performance computing;

    Sammanfattning : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. LÄS MER

  4. 4. Nonparametric tests for comparing two treatments by using ordinal data

    Författare :Helen Wahlström; Elisabeth Svensson; Jan Lanke; Sture Holm; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistik; change; clinical trial; Monte Carlo; ordered categorical data; paired data; permutation test; Pitman efficiency; power; stratification; ties; visual analogue scale; Wilcoxon-Mann-Whitney statistic; statistik; Statistics; Statistik; Statistics; Statistik;

    Sammanfattning : This thesis concerns four nonparametric tests for comparing two treatments in a randomized controlled clinical trial when the main response variable generates discrete or continuous ordinal data and measurements are made at baseline and follow-up. In the Wilcoxon-Mann-Whitney test (WMW) the baseline values are not taken into account at all, but in the other three tests both baseline and follow-up values are used. LÄS MER

  5. 5. On Rank-invariant Methods for Ordinal Data

    Författare :Yishen Yang; Sune Karlsson; Elisabeth Svensson; Rolf Larsson; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Ordinal data; rank-invariance; systematic change; agreement; association; inter-rater reliability; ranking; Spearman; multi-item scale; Statistik; Statistics;

    Sammanfattning : Data from rating scale assessments have rank-invariant properties only, which means that the data represent an ordering, but lack of standardized magnitude, inter-categorical distances, and linearity. Even though the judgments often are coded by natural numbers they are not really metric. LÄS MER