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07/02/2021
A Robust Seemingly Unrelated Regressions For Row-Wise And Cell-Wise Contamination
The Seemingly Unrelated Regressions (SUR) model is a wide used estimatio...
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10/16/2020
Robust Estimation for Multivariate Wrapped Models
A weighted likelihood technique for robust estimation of a multivariate ...
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10/12/2020
Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
Many real-life data sets can be analyzed using Linear Mixed Models (LMMs...
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08/27/2020
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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08/24/2020
Torus Probabilistic Principal Component Analysis
One of the most common problems that any technique encounters is the hig...
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09/10/2019
Robust Multivariate Estimation Based On Statistical Data Depth Filters
In the classical contamination models, such as the gross-error (Huber an...
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09/06/2019
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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11/14/2018
Estimation of Multivariate Wrapped Models for Data in Torus
Multivariate circular observations, i.e. points on a torus are nowadays ...
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11/08/2018
Weighted likelihood mixture modeling and model based clustering
A weighted likelihood approach for robust fitting of a mixture of multiv...
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02/15/2018
A Weighted Likelihood Approach Based on Statistical Data Depths
We propose a general approach to construct weighted likelihood estimatin...
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10/16/2017
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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09/29/2017
Robust Estimation in High Dimensional Generalized Linear Models
Generalized Linear Models are routinely used in data analysis. The class...
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09/06/2017
