
A Robust Seemingly Unrelated Regressions For RowWise And CellWise Contamination
The Seemingly Unrelated Regressions (SUR) model is a wide used estimatio...
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Robust Estimation for Multivariate Wrapped Models
A weighted likelihood technique for robust estimation of a multivariate ...
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Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
Many reallife data sets can be analyzed using Linear Mixed Models (LMMs...
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Analytical and statistical properties of local depth functions motivated by clustering applications
Local depth functions (LDFs) are used for describing the local geometric...
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Torus Probabilistic Principal Component Analysis
One of the most common problems that any technique encounters is the hig...
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Robust Multivariate Estimation Based On Statistical Data Depth Filters
In the classical contamination models, such as the grosserror (Huber an...
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Generalization of the simplicial depth: no vanishment outside the convex hull of the distribution support
The simplicial depth, like other relevant multivariate statistical data ...
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Estimation of Multivariate Wrapped Models for Data in Torus
Multivariate circular observations, i.e. points on a torus are nowadays ...
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Weighted likelihood mixture modeling and model based clustering
A weighted likelihood approach for robust fitting of a mixture of multiv...
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A Weighted Likelihood Approach Based on Statistical Data Depths
We propose a general approach to construct weighted likelihood estimatin...
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Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Convolutional Neural Networks (CNNs) are a popular deep learning archite...
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Robust Estimation in High Dimensional Generalized Linear Models
Generalized Linear Models are routinely used in data analysis. The class...
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Phylogenetic Convolutional Neural Networks in Metagenomics
Background: Convolutional Neural Networks can be effectively used only w...
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Claudio Agostinelli
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