Robust General Linear Models and Graphics via a User Interface (Web RGLM)

Robust General Linear Models and Graphics via a User Interface (Web RGLM)

Robust Bayesian General Linear Models.

We describe a Bayesian learning algorithm for Robust General Linear Models (RGLMs). The noise is modeled as a Mixture of Gaussians rather than the usual single Gaussian. This allows different data points to be associated with different noise levels and effectively provides a robust estimation of regression coefficients. A variational inference framework is used to prevent overfitting and provid...

Robust Estimation in Linear Regression with Molticollinearity and Sparse Models

‎One of the factors affecting the statistical analysis of the data is the presence of outliers‎. ‎The methods which are not affected by the outliers are called robust methods‎. ‎Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers‎. ‎Besides outliers‎, ‎the linear dependency of regressor variables‎, ‎which is called multicollinearity...

Robust-BD Estimation and Inference for General Partially Linear Models

The classical quadratic loss for the partially linear model (PLM) and the likelihood function for the generalized PLM are not resistant to outliers. This inspires us to propose a class of “robust-Bregman divergence (BD)” estimators of both the parametric and nonparametric components in the general partially linear model (GPLM), which allows the distribution of the response variable to be partia...

User Interface Design in Mobile Educational Applications

Introduction: User interfaces are a crucial factor in ensuring the success of mobile applications. Mobile Educational Applications not only provide flexibility in learning, but also allow learners to learn at any time and any place. The purpose of this article is to investigate the effective factors affecting the design of the user interface in mobile educational applications. Methods: Quantita...