Comments on: Dynamic relations for sparsely sampled Gaussian processes

DOI10.1007/S11749-009-0175-5zbMath1203.62152OpenAlexW4252993006MaRDI QIDQ5966123

Naisyin Wang

Publication date: 22 January 2011

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-009-0175-5

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Non-Markovian processes: estimation (62M09)

Cites Work

• Unnamed Item
• Using empirical partially Bayes inference for increased efficiency
• Properties of principal component methods for functional and longitudinal data analysis
• A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
• Conditional Estimation for Generalized Linear Models When Covariates Are Subject‐Specific Parameters in a Mixed Model for Longitudinal Measurements
• On Properties of Functional Principal Components Analysis
• Joint Models for a Primary Endpoint and Multiple Longitudinal Covariate Processes

This page was built for publication: Comments on: Dynamic relations for sparsely sampled Gaussian processes