Bayesian covariate selection in mixed-effects models for longitudinal shape analysis
暂无分享,去创建一个
Guido Gerig | P. Thomas Fletcher | Eun Young Kim | Hans J. Johnson | Jane S. Paulsen | James Fishbaugh | Prasanna Muralidharan | G. Gerig | J. Fishbaugh | P. Fletcher | H. Johnson | Eun Young Kim | Prasanna Muralidharan
[1] D. Dunson,et al. Sparse Variational Analysis of Linear Mixed Models for Large Data Sets. , 2011, Statistics and Probability Letters.
[2] Michael I. Miller,et al. Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes , 2009, NeuroImage.
[3] Guido Gerig,et al. Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data , 2012, International Journal of Computer Vision.
[4] P. Thomas Fletcher,et al. Hierarchical Geodesic Models in Diffeomorphisms , 2015, International Journal of Computer Vision.
[5] George Eastman House,et al. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine , 2001 .
[6] J. Ware,et al. Random-effects models for longitudinal data. , 1982, Biometrics.
[7] Ronald Pierson,et al. Association between Age and Striatal Volume Stratified by CAG Repeat Length in Prodromal Huntington Disease , 2011, PLoS currents.
[8] Guido Gerig,et al. Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics , 2014, MICCAI.
[9] P. Thomas Fletcher,et al. Sasaki metrics for analysis of longitudinal data on manifolds , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Guido Gerig,et al. Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy , 2012, STIA.
[11] Sarah J E Barry,et al. Linear mixed models for longitudinal shape data with applications to facial modeling. , 2008, Biostatistics.