Bayesian Latent Factor Regression for Functional and Longitudinal Data
From MaRDI portal
Publication:4911929
DOI10.1111/j.1541-0420.2012.01788.xzbMath1258.62030OpenAlexW2049526683WikidataQ30570376 ScholiaQ30570376MaRDI QIDQ4911929
Brian Neelon, Surya T. Tokdar, Silvia Montagna, David B. Dunson
Publication date: 20 March 2013
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3530663
random effectsfactor analysissparse datafunctional principal components analysislatent trajectory models
Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15)
Related Items
Predictions based on the clustering of heterogeneous functions via shape and subject-specific covariates, Bayesian latent factor regression for multivariate functional data with variable selection, Bayesian Function-on-Scalars Regression for High-Dimensional Data, Bayesian factor models for probabilistic cause of death assessment with verbal autopsies, A spatial Bayesian latent factor model for image‐on‐image regression, Bayesian GARCH modeling of functional sports data, A data-adaptive dimension reduction for functional data via penalized low-rank approximation, The coordinate-based meta-analysis of neuroimaging data, A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard, A note on the multiplicative gamma process, Causal mediation analysis for sparse and irregular longitudinal data, Bayesian joint modeling of chemical structure and dose response curves, Bayesian function-on-function regression for multilevel functional data, Dynamic regression models for time-ordered functional data, Region-referenced spectral power dynamics of EEG signals: a hierarchical modeling approach, Nonparametric Bayesian functional meta-regression: applications in environmental epidemiology, Spatial Bayesian latent factor regression modeling of coordinate-based meta-analysis data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm
- Covariate adjusted functional principal components analysis for longitudinal data
- Hybrid Dirichlet Mixture Models for Functional Data
- Sparse Bayesian infinite factor models
- Functional Clustering by Bayesian Wavelet Methods
- Bayesian Multivariate Logistic Regression
- A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors
- Bayesian nonparametric functional data analysis through density estimation
- Nonparametric Bayes local partition models for random effects
- Clustering for Sparsely Sampled Functional Data
- Principal component models for sparse functional data
- Bayesian Semiparametric Joint Models for Functional Predictors
- Bayesian Analysis of Binary and Polychotomous Response Data
- Hierarchical models for assessing variability among functions
- Functional Data Analysis for Sparse Longitudinal Data
- Semiparametric Bayesian Classification with longitudinal Markers