Improving upon the effective sample size based on Godambe information for block likelihood inference

DOI10.1007/s00180-023-01328-6MaRDI QIDQ6567430

Rahul Mukerjee

Publication date: 5 July 2024

Published in: Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

Matérn modelAR (1) modelcolumn-wise blockingKronecker correlationrow-wise blocking

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

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• Comparing composite likelihood methods based on pairs for spatial Gaussian random fields
• Asymptotic properties of computationally efficient alternative estimators for a class of multivariate normal models
• Effective sample size for spatial regression models
• The sample size required in importance sampling
• Assessing the effective sample size for large spatial datasets: a block likelihood approach
• The Effective Sample Size
• The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method
• On nearest-neighbor Gaussian process models for massive spatial data

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