Sökning: "linear regression models"

Visar resultat 1 - 5 av 227 avhandlingar innehållade orden linear regression models.

1. 1. Efficient training of interpretable, non-linear regression models

   Författare :Oskar Allerbo; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; sparse regression; kernel regression; neural network regression; early stopping; bandwidth selection;

   Sammanfattning : Regression, the process of estimating functions from data, comes in many flavors. One of the most commonly used regression models is linear regression, which is computationally efficient and easy to interpret, but lacks in flexibility. LÄS MER

3. 2. Model Selection and Sparse Modeling

   Författare :Yngve Selén; Peter Stoica; Jean-Jacques Fuchs; Uppsala universitet; []
   Nyckelord :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

4. 3. 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 :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. 4. Bayesian Sequential Inference for Dynamic Regression Models

   Författare :Parfait Munezero; Mattias Villani; Helga Wagner; Stockholms universitet; []
   Nyckelord :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

7. 5. The Quest for Robust Model Selection Methods in Linear Regression

   Författare :Prakash Borpatra Gohain; Magnus Jansson; K.V.S Hari; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Model selection; information criterion; linear regression; sparsity; high dimensional; Electrical Engineering; Elektro- och systemteknik; Mathematical Statistics; Matematisk statistik;

   Sammanfattning : A fundamental requirement in data analysis is fitting the data to a model that can be used for the purpose of prediction and knowledge discovery. A typical and favored approach is using a linear model that explains the relationship between the response and the independent variables. LÄS MER