The Seemingly Unrelated Regressions (SUR) model is a wide used estimatio...
A weighted likelihood technique for robust estimation of a multivariate
...
Many real-life data sets can be analyzed using Linear Mixed Models (LMMs...
Local depth functions (LDFs) are used for describing the local geometric...
One of the most common problems that any technique encounters is the hig...
In the classical contamination models, such as the gross-error (Huber an...
The simplicial depth, like other relevant multivariate statistical data ...
Multivariate circular observations, i.e. points on a torus are nowadays ...
A weighted likelihood approach for robust fitting of a mixture of
multiv...
We propose a general approach to construct weighted likelihood estimatin...
Convolutional Neural Networks (CNNs) are a popular deep learning archite...
Generalized Linear Models are routinely used in data analysis. The class...
Background: Convolutional Neural Networks can be effectively used only w...