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Small area estimation of average compositions under multivariate nested error regression models
(Springer Science and Business Media Deutschland GmbH, 2023)
[Abstract]: This paper investigates the small area estimation of population averages of unit-level compositional data. The new methodology transforms the compositions into vectors of Rm and assumes that the vectors follow ...
Local Correlation Integral Approach for Anomaly Detection Using Functional Data
(MDPI, 2023-02-06)
[Abstract]: The present work develops a methodology for the detection of outliers in functional data, taking into account both their shape and magnitude. Specifically, the multivariate method of anomaly detection called ...
The bootstrap for testing the equality of two multivariate time series with an application to financial markets
(Elsevier, 2022)
[Abstract]: The problem of testing the equality of the generating processes of two multivariate time series is addressed in this work. To this aim, we construct four tests based on a distance measure between stochastic ...
Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences
(Elsevier, 2023)
[Abstract]: Two novel distances between categorical time series are introduced. Both of them measure discrepancies between extracted features describing the underlying serial dependence patterns. One distance is based on ...
Bandwidth selection for statistical matching and prediction
(Springer, 2022)
[Abstract]: While there exist many bandwidth selectors for estimation, bandwidth selection for statistical matching and prediction has hardly been studied so far. We introduce a computationally attractive selector for ...
Constructing a Control Chart Using Functional Data
(MDPI AG, 2020-01-02)
[Abstract] This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies ...
Characterizing the Invasive Tumor Front of Aggressive Uterine Adenocarcinoma and Leiomyosarcoma
(Frontiers, 2021)
[Abstract] The invasive tumor front (the tumor–host interface) is vitally important in malignant cell progression and metastasis. Tumor cell interactions with resident and infiltrating host cells and with the surrounding ...
Epigenetic Landscape in Blood Leukocytes Following Ketosis and Weight Loss Induced by a Very Low Calorie Ketogenic Diet (VLCKD) in Patients With Obesity
(Elsevier, 2021)
[Abstract] Background:The molecular mechanisms underlying the potential health benefits of a ketogenic diet areunknown and could be mediated by epigenetic mechanisms.Objective:To identify the changes in the obesity-related ...
Big-But-Biased Data Analytics for Air Quality
(MDPI AG, 2020-09-22)
[Abstract]
Air pollution is one of the big concerns for smart cities. The problem of applying big data analytics to sampling bias in the context of urban air quality is studied in this paper. A nonparametric estimator ...
A distance correlation approach for optimum multiscale selection in 3D point cloud classification
(2021)
[Abstract] Supervised classification of 3D point clouds using machine learning algorithms and handcrafted local features as covariates frequently depends on the size of the neighborhood (scale) around each point used to ...