Sökning: "Statistical Information"

Visar resultat 21 - 25 av 990 avhandlingar innehållade orden Statistical Information.

  1. 21. Methodology and Infrastructure for Statistical Computing in Genomics : Applications for Ancient DNA

    Författare :Kristiina Ausmees; Carl Nettelblad; Mattias Jakobsson; Flora Jay; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; statistical computing; genotype imputation; ancient DNA; deep learning; dimensionality reduction; genetic clustering; distributed computing; Scientific Computing; Beräkningsvetenskap;

    Sammanfattning : This thesis concerns the development and evaluation of computational methods for analysis of genetic data. A particular focus is on ancient DNA recovered from archaeological finds, the analysis of which has contributed to novel insights into human evolutionary and demographic history, while also introducing new challenges and the demand for specialized methods. LÄS MER

  2. 22. Data-Driven Methods for Microwave Sensor Devices in Musculoskeletal Diagnostics

    Författare :Viktor Mattsson; Robin Augustine; Mauricio D. Perez; Roger Karlsson; Paul Meaney; Joseph Costantine; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Microwave Sensors; Data-Driven Modeling; Statistical Analysis; Maskininlärning; Mikrovågssensorer; Datadriven modellering; Statistisk Analys; Teknisk fysik med inriktning mot elektronik; Engineering Science with specialization in Electronics;

    Sammanfattning : Microwave sensors can be used within medicine as they use non-ionizing radiation, are often low cost, and can be designed for a specific purpose. The application of microwave sensors for diagnostics and monitoring can be improved using appropriate data analysis. The multi-layered structure of the human body makes the measurements on people complex. LÄS MER

  3. 23. 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

  4. 24. Data-driven Performance Prediction and Resource Allocation for Cloud Services

    Författare :Rerngvit Yanggratoke; Rolf Stadler; Gunnar Karlsson; Filip De Turck; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Cloud services, which provide online entertainment, enterprise resource management, tax filing, etc., are becoming essential for consumers, businesses, and governments. The key functionalities of such services are provided by backend systems in data centers. This thesis focuses on three fundamental problems related to management of backend systems. LÄS MER

  5. 25. Discourse in Statistical Machine Translation

    Författare :Christian Hardmeier; Joakim Nivre; Jörg Tiedemann; Marcello Federico; Lluís Màrquez; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistical machine translation; Discourse-level machine translation; Document decoding; Local search; Pronominal anaphora; Pronoun translation; Neural networks; Computational Linguistics; Datorlingvistik;

    Sammanfattning : This thesis addresses the technical and linguistic aspects of discourse-level processing in phrase-based statistical machine translation (SMT). Connected texts can have complex text-level linguistic dependencies across sentences that must be preserved in translation. However, the models and algorithms of SMT are pervaded by locality assumptions. LÄS MER