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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 ...
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 ...
A Logistic Approach for Kinetics of Isothermal Pyrolysis of Cellulose
(MDPI, 2021-03)
[Abstract] A kinetic model is proposed to fit isothermal thermogravimetric data obtained from cellulose in an inert atmosphere at different temperatures. The method used here to evaluate the model involves two steps: (1) ...
Modelling Operative and Routine Learning Curves in Manoeuvres in Locks and in Transit in the Expanded Panama Canal
(Cambridge University Press, 2021-05)
[Abstract] Piloting in the Panama Canal is exceptional as, due to its importance, the functions of the captains of vessels are taken over by pilots. Hence, prior to inauguration of the expanded canal, a limited number of ...
npcure: An R Package for Nonparametric Inference in Mixture Cure Models
(Technische Universitaet Wien, 2021)
[Abstract] Mixture cure models have been widely used to analyze survival data with a cure fraction. They assume that a subgroup of the individuals under study will never experience the event (cured subjects). So, the goal ...