Variational bayes inference of spatial mixture models for segmentation

besag, 1986, on the statistical analysis of dirty pictures, J Roy Statist Soc, 3, 259

10.1109/TPAMI.1984.4767596

cressie, 1993, Statistics for Spatial Data, 10.1002/9781119115151

10.1109/83.469934

10.1109/42.897810

10.1109/83.557353

10.1002/hbm.460020402

10.1006/nimg.2001.0931

10.1002/(SICI)1097-0193(1999)7:1<1::AID-HBM1>3.3.CO;2-8

10.1002/1097-0193(200012)11:4<233::AID-HBM10>3.0.CO;2-F

10.1006/nimg.2002.1132

10.1109/42.906424

beckmann, 2003, gaussian/gamma mixture modelling of ica/glm spatial maps, 9th Int Conf Functional Mapping of the Human Brain, 19, 985s

10.1109/42.650883

10.1007/10704282_52

rattanasiri, 2004, a mixture model application in disease mapping of malaria, Southeast Asian J Tropical Med Public Health, 35, 38

10.1109/TPAMI.2003.1240112

10.1109/42.832957

10.1109/42.585758

10.1109/TMI.2004.836545

10.1109/42.511747

10.1007/978-1-4899-4485-6

jordan, 1999, Learning in Graphical Models

gamerman, 1997, Markov Chain Monte Carlo

penny, 2003, variational bayesian inference for fmri time series, NeuroImage, 19, 1477, 10.1016/S1053-8119(03)00071-5

2000, A Variational Bayesian framework for graphical models

10.1016/j.neuroimage.2004.08.034

10.1016/j.neuroimage.2003.12.024