Prediction accuracy in multivariate repeated-measures Bayesian forecasting models with examples drawn from research on sleep and circadian rhythms

DOI10.1155/2016/4724395zbMath1343.62090OpenAlexW2276548503WikidataQ36731702 ScholiaQ36731702MaRDI QIDQ306017

Hans P. A. Van Dongen, Clark Kogan, Leonid V. Kalachev

Publication date: 31 August 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/4724395

zbMATH Keywords

circadian rhythmsprediction accuracyBayesian forecasting models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biological rhythms and synchronization (92B25)

Uses Software

• S-PLUS
• nlme
• MEMSS

Cites Work

• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Optimal Bayesian experimental design for linear models
• Introduction to optimal estimation
• Mean Squared Error Properties of Empirical Bayes Estimators in a Multivariate Random Effects General Linear Model