ListarModelización, Optimización e Inferencia Estadística (MODES) por tema "Functional data analysis"
Mostrando ítems 1-7 de 7
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A Nonparametric Bootstrap Method for Heteroscedastic Functional Data
(Springer, 2024-03)[Absctract]: The objective is to provide a nonparametric bootstrap method for functional data that consists of independent realizations of a continuous one-dimensional process. The process is assumed to be nonstationary, ... -
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings
(2019)[Abstract] The aim of this work is to propose different statistical and machine learning methodologies for identifying anomalies and control the quality of energy efficiency and hygrothermal comfort in buildings. ... -
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 ... -
Erosive Degradation Study of Concrete Augmented by Mussel Shells for Marine Construction
(MDPI, 2021-10)[Abstract] This work proposes a green material for artificial reefs to be placed in Galicia (northwest Spain) taking into account the principles of circular economy and sustainability of the ecosystem. New concrete ... -
Fast Algorithm for Impact Point Selection in Semiparametric Functional Models
(M D P I AG, 2019-07-31)[Abstract] A new sparse semiparametric functional model is proposed, which tries to incorporate the influence of two functional variables in a scalar response in a quite simple and interpretable way. One of the functional ... -
Predicting rainfall and irrigation requirements of corn in Ecuador
(Elsevier Ltd, 2023-08)[Abstract]: This work is a case study whose objective is prediction of irrigation needs of corn crops in different regions of Ecuador; being this a fundamental basic food for the country's economy, as in the remaining ... -
Sparse Semi-Functional Partial Linear Single-Index Regression
(M D P I AG, 2018-09-17)[Abstract] The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure ...