Sökning: "regression models"

Visar resultat 1 - 5 av 617 avhandlingar innehållade orden regression models.

  1. 1. Model Selection and Sparse Modeling

    Författare :Yngve Selén; Peter Stoica; Jean-Jacques Fuchs; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; model selection; model order selection; model averaging; nested models; sparse models; Bayesian inference; MMSE estimation; MAP estimation; ML estimation; AIC; BIC; GIC; RAKE receivers; pulse compression; radar; linear models; linear regression models; Signal processing; Signalbehandling;

    Sammanfattning : Parametric signal models are used in a multitude of signal processing applications. This thesis deals with signals for which there are many candidate models, and it is not a priori known which model is the most appropriate one. LÄS MER

  2. 2. Bayesian Sequential Inference for Dynamic Regression Models

    Författare :Parfait Munezero; Mattias Villani; Helga Wagner; Stockholms universitet; []
    Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Bayesian sequential inference; Dynamic regression models; Particle filter; Online prediction; Particle smoothing; Linear Bayes; Statistics; statistik;

    Sammanfattning : Many processes evolve over time and statistical models need to be adaptive to change. This thesis proposes flexible models and statistical methods for inference about a data generating process that varies over time. The models considered are quite general dynamic predictive models with parameters linked to a set of covariates via link functions. LÄS MER

  3. 3. Learning predictive models from graph data using pattern mining

    Författare :Thashmee M. Karunaratne; Henrik Boström; Lars Asker; Nada Lavraˇc; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Graph Data; Pattern Mining; Classification; Regression; Predictive Models; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Learning from graphs has become a popular research area due to the ubiquity of graph data representing web pages, molecules, social networks, protein interaction networks etc. However, standard graph learning approaches are often challenged by the computational cost involved in the learning process, due to the richness of the representation. LÄS MER

  4. 4. Rank Estimation in Elliptical Models : Estimation of Structured Rank Covariance Matrices and Asymptotics for Heteroscedastic Linear Regression

    Författare :Kristi Kuljus; Silvelyn Zwanzig; Dietrich von Rosen; Jana Jureckova; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; elliptical distributions; multivariate ranks; rank covariance matrix; linear rank regression; heteroscedastic errors; linear rank statistics; Mathematical statistics; Matematisk statistik;

    Sammanfattning : This thesis deals with univariate and multivariate rank methods in making statistical inference. It is assumed that the underlying distributions belong to the class of elliptical distributions. LÄS MER

  5. 5. Developing Median Regression for SURE Models : With Application to 3-Generation Immigrants' Data in Sweden

    Författare :Zangin Zeebari; Ghazi Shukur; Håkan Locking; Växjö universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Statistics; computer and systems science; Statistik; data- och systemvetenskap; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Sammanfattning : .... LÄS MER