Bayesian sensitivity analysis of a nonlinear dynamic factor analysis model with nonparametric prior and possible nonignorable missingness

DOI10.1007/s11336-017-9587-4zbMath1402.62048OpenAlexW2761203499WikidataQ47797380 ScholiaQ47797380MaRDI QIDQ1695731

Sy-Miin Chow, Joseph G. Ibrahim, Hong-Tu Zhu, Nian Sheng Tang

Publication date: 8 February 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5985146

zbMATH Keywords

sensitivity analysisDirichlet process priornonignorable missing dataBayesian local influenceBayesian perturbation manifoldnonlinear dynamic factor analysis model

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Statistical inference for nonignorable missing-data problems: a selective review, Bayesian semiparametric approach to quantile nonlinear dynamic factor analysis models with mixed ordered and nonignorable missing data, Bayesian quantile regression with mixed discrete and nonignorable missing covariates, An alternative sensitivity approach for longitudinal analysis with dropout

Uses Software

• JAGS

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