A fused Lasso approach to nonstationary spatial covariance estimation

DOI10.1007/s13253-016-0251-8zbMath1347.62250OpenAlexW2442571077WikidataQ57430766 ScholiaQ57430766MaRDI QIDQ321472

Ryan J. Parker, Jo Eidsvik, Brian J. Reich

Publication date: 13 October 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-016-0251-8

zbMATH Keywords

regularizationspatial statisticspenalized likelihoodnonstationary covariance

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to environmental and related topics (62P12)

Related Items (2)

Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty ⋮ Identifying local differences with fused-MCP: an apartment rental market case study on geographical segmentation detection

Uses Software

• spcov
• FRK

Cites Work

• Unnamed Item
• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Sparse estimation of a covariance matrix
• The solution path of the generalized lasso
• A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration
• Component selection and smoothing in multivariate nonparametric regression
• Improving the performance of predictive process modeling for large datasets
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Surface estimation, variable selection, and the nonparametric oracle property
• A spectral method for spatial downscaling
• Handbook of Spatial Statistics
• Fixed Rank Kriging for Very Large Spatial Data Sets
• Gaussian Predictive Process Models for Large Spatial Data Sets
• Spectral methods for nonstationary spatial processes
• Approximating Likelihoods for Large Spatial Data Sets
• Sparsity and Smoothness Via the Fused Lasso
• Modeling Nonstationary Processes Through Dimension Expansion
• Approximate Likelihood for Large Irregularly Spaced Spatial Data
• Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets

This page was built for publication: A fused Lasso approach to nonstationary spatial covariance estimation