A functional-data approach to the Argo data
DOI10.1214/21-AOAS1477zbMath1498.62296arXiv2006.05020OpenAlexW4220947490MaRDI QIDQ2135351
Stilian A. Stoev, Drew Yarger, Tailen Hsing
Publication date: 6 May 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.05020
Inference from spatial processes (62M30) Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Functional data analysis (62R10) Applications of statistics to environmental and related topics (62P12) Hydrology, hydrography, oceanography (86A05) Geostatistics (86A32)
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Gaussian Process Learning via Fisher Scoring of Vecchia's Approximation
- Spatial autoregressive and moving average Hilbertian processes
- Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data
- Recent developments in complex and spatially correlated functional data
- Interpolation of spatial data. Some theory for kriging
- Spatial variability clustering for spatially dependent functional data
- Properties of principal component methods for functional and longitudinal data analysis
- Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
- Modeling Functional Data with Spatially Heterogeneous Shape Characteristics
- Geostatistics
- Fast methods for spatially correlated multilevel functional data
- Bayesian nonparametric functional data analysis through density estimation
- A test of weak separability for multi-way functional data, with application to brain connectivity studies
- A Geometric Approach to Confidence Regions and Bands for Functional Parameters
- Hierarchical Bayesian models for predicting spatially correlated curves
- Introduction to Functional Data Analysis
- A Limited Memory Algorithm for Bound Constrained Optimization
- Some Recent Developments in Inference for Geostatistical Functional Data
- Multivariate Type G Matérn Stochastic Partial Differential Equation Random Fields
- Spatial blind source separation
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models
- Selecting the Number of Principal Components in Functional Data
- Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis
- Functional Data Analysis for Sparse Longitudinal Data
- ISAS-Tool
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