New Parsimonious Multivariate Spatial Model: Spatial Envelope

DOI10.5705/ss.202017.0455zbMath1453.62506arXiv1706.06703OpenAlexW2963484251WikidataQ129103387 ScholiaQ129103387MaRDI QIDQ5134492

Zahra Naji, Qin Wang, Montserrat Fuente, Hossein Moradi Rekabdarkolaee

Publication date: 16 November 2020

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1706.06703

zbMATH Keywords

dimension reductionGrassmannian manifoldMatérn covariance functionspatial dependency

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Statistics on manifolds (62R30) Applications of statistics to environmental and related topics (62P12)

Related Items (5)

A Bayesian Approach to Envelope Quantile Regression ⋮ Unnamed Item ⋮ Envelope Model for Function-on-Function Linear Regression ⋮ A slice of multivariate dimension reduction ⋮ Response envelopes for linear coregionalization models

Uses Software

• envlp

Cites Work

• A note on fast envelope estimation
• Cross-covariance functions for multivariate geostatistics
• Constructing and fitting models for cokriging and multivariable spatial prediction
• Model-free envelope dimension selection
• Functional envelope for model-free sufficient dimension reduction
• Inner envelopes: efficient estimation in multivariate linear regression
• Partial envelopes for efficient estimation in multivariate linear regression
• Model-Based Geostatistics
• The Geometry of Algorithms with Orthogonality Constraints
• Statistics for Spatial Data
• Matérn Cross-Covariance Functions for Multivariate Random Fields
• Pseudo-cross variograms, positive-definiteness, and cokriging
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