Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres

DOI10.1016/j.csda.2022.107555OpenAlexW4284891279WikidataQ113877318 ScholiaQ113877318MaRDI QIDQ2674498

Bernardo Nipoti, Galatia Cleanthous, Pier Giovanni Bissiri, Xavier Emery, Emilio Porcu

Publication date: 14 September 2022

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2022.107555

zbMATH Keywords

Bayesian nonparametricsaxial symmetrycovariance functionsdata on spheresglobal processeslongitudinal integration

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Some theory for anisotropic processes on the sphere
• Nonparametric Bayesian models for a spatial covariance
• Spatial variation of total column ozone on a global scale
• Nonstationary covariance models for global data
• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• Nonparametric Bayesian inference in applications
• Theory of statistics
• Positive definite functions on spheres
• Random Fields on the Sphere
• Generalized Spatial Dirichlet Process Models
• A Predictive Approach to Model Selection
• Bayesian Inference for Non-Stationary Spatial Covariance Structure via Spatial Deformations
• Gibbs Sampling Methods for Stick-Breaking Priors
• Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation
• Nonparametric Bayesian inference for the spectral density function of a random field
• Dimension walks and Schoenberg spectral measures
• Stochastic Processes on a Sphere
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
• Modeling Temporally Evolving and Spatially Globally Dependent Data

This page was built for publication: Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres