en-de
en-es
en-fr
en-pt
en-sl
en
en-zh
0.25
0.5
0.75
1.25
1.5
1.75
2
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Data
Published on May 06, 20113761 Views
The literature on Gaussian graphical models (GGMs) contains two equally rich and equally significant domains of research efforts and interests. The first research domain relates to the problem of gra
Related categories
Chapter list
Multi-way Guassian graphical models00:00
Neighborhood graph of the states of the U.S. (1)00:14
Neighborhood graph of the states of the U.S. (2)01:48
Example: cancer surveillance in the U.S. (1)03:19
Example: cancer surveillance in the U.S. (2)04:49
Gaussian graphical models (GGMs)06:45
Conditional Autoregressive (car) models07:44
Neighborhood structure of the U.S.07:54
The G-wishart distibution15:57
Sample from the G-wishart distribution (1)18:48
Sample from the G-wishart distribution (2)22:25
Car models: revisited25:03
Matrix-variate gaussian graphical models27:37
Multi-way gaussian graphical models30:32
Multivariate car models37:30
Example: cancer surveillance in the U.S. (1)38:09
Example: cancer surveillance in the U.S. (2)39:27
Example: cancer surveillance in the U.S. (3)42:45
Example: cancer surveillance in the U.S. (4)43:09
Example: cancer surveillance in the U.S. (5)43:12
Example: cancer surveillance in the U.S. (6)45:39
Example: cancer surveillance in the U.S. (7)45:56
Example: low birth weight in north carolina infants (1)46:46
Example: low birth weight in north carolina infants (2)48:59
Example: low birth weight in north carolina infants (3)50:23
Example: understandindg trends in exhange rate fluctuations50:54
Papers and software51:02