Título
Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture
Autor
Osval Antonio Montesinos-Lopez
Gustavo de los Campos
Jose Crossa
Juan Burgueño
Francisco Javier Luna Vázquez
Nivel de Acceso
Acceso Abierto
Materias
Agriculture - (AGROVOC) Bayesian theory - (AGROVOC) Phenotyping - (AGROVOC) Hyperspectral Data - (AGROVOC) Functional Regression Analyses - (AGROVOC) Bayesian Functional Regression - (AGROVOC) Functional Data - (AGROVOC) Bayesian Ridge Regression - (AGROVOC) DATA ANALYSIS - (AGROVOC) REGRESSION ANALYSIS - (AGROVOC) STATISTICAL METHODS - (AGROVOC) BAYESIAN THEORY - (AGROVOC) CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA - (CTI)
Resumen o descripción
Modern agriculture uses hyperspectral cameras with hundreds of reflectance data at discrete narrow bands measured in several environments. Recently, Montesinos-López et al. (Plant Methods 13(4):1–23, 2017a. https://doi.org/10.1186/s13007-016-0154-2; Plant Methods 13(62):1–29, 2017b. https://doi.org/10.1186/s13007-017-0212-4) proposed using functional regression analysis (as functional data analyses) to help reduce the dimensionality of the bands and thus decrease the computational cost. The purpose of this paper is to discuss the advantages and disadvantages that functional regression analysis offers when analyzing hyperspectral image data. We provide a brief review of functional regression analysis and examples that illustrate the methodology. We highlight critical elements of model specification: (i) type and number of basis functions, (ii) the degree of the polynomial, and (iii) the methods used to estimate regression coefficients. We also show how functional data analyses can be integrated into Bayesian models. Finally, we include an in-depth discussion of the challenges and opportunities presented by functional regression analysis.
Fecha de publicación
2018
Tipo de publicación
Artículo
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Investigadores
Repositorio Orígen
Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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