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09/07/2023
Data Type Agnostic Visual Sensitivity Analysis
Modern science and industry rely on computational models for simulation,...
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07/25/2023
Minimum regularized covariance trace estimator and outlier detection for functional data
In this paper, we propose the Minimum Regularized Covariance Trace (MRCT...
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06/12/2023
Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand Forecast
A common forecasting setting in real world applications considers a set ...
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05/11/2023
Predictive change point detection for heterogeneous data
A change point detection (CPD) framework assisted by a predictive machin...
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05/09/2023
Spatially smoothed robust covariance estimation for local outlier detection
Most multivariate outlier detection procedures ignore the spatial depend...
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10/18/2022
Multivariate outlier explanations using Shapley values and Mahalanobis distances
For the purpose of explaining multivariate outlyingness, it is shown tha...
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05/24/2022
Robust and Sparse Multinomial Regression in High Dimensions
A robust and sparse estimator for multinomial regression is proposed for...
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03/09/2022
Identifying the root cause of cable network problems with machine learning
Good quality network connectivity is ever more important. For hybrid fib...
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01/25/2022
Extending compositional data analysis from a graph signal processing perspective
Traditional methods for the analysis of compositional data consider the ...
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01/25/2022
Compositional Cubes: A New Concept for Multi-factorial Compositions
Compositional data are commonly known as multivariate observations carry...
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12/16/2021
Visual Parameter Selection for Spatial Blind Source Separation
Multivariate measurements at irregularly-spaced points and their analysi...
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08/31/2021
Spatial Blind Source Separation in the Presence of a Drift
Multivariate measurements taken at different spatial locations occur fre...
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11/19/2020
TBSSvis: Visual Analytics for Temporal Blind Source Separation
Temporal Blind Source Separation (TBSS) is used to obtain the true, unde...
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09/08/2020
The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data
Evaluating relative changes leads to additional insights which would rem...
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06/30/2020
A Robust Adaptive Modified Maximum Likelihood Estimator for the Linear Regression Model
In linear regression, the least squares (LS) estimator has certain optim...
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06/02/2020
Robust multivariate methods in Chemometrics
This chapter presents an introduction to robust statistics with applicat...
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03/23/2020
A method to identify geochemical mineralization on linear transect
Mineral exploration in biogeochemistry is related to the detection of an...
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12/07/2019
Cellwise Robust M Regression
The cellwise robust M regression estimator is introduced as the first es...
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12/05/2019
Identification of mineralization in geochemistry along a transect based on the spatial curvature of log-ratios
Detecting subcropping mineralizations but also deeply buried mineralizat...
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04/11/2019
Robust Principal Component Analysis for Compositional Tables
A data table which is arranged according to two factors can often be con...
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11/17/2017