multivariate poisson hidden markov models for analysis of spatial ...

proportion
1.00
0.90
0.80
0.70
0.60
0.50
0.40
0.30
0.20
0.10
0.00
2 3 4 5 6 7
Number of Components -k
Figure 6.6: The mixing proportions for model solutions with k =2 to 7 components for
the common covariance multivariate Poisson finite mixture model
Table 6.7: Parameter estimates (bootstrapped standard errors) of the five components
common covariance model
Component θ
1
θ
2
θ
3
θ
123
p
j
1 0.1974 0.0000 25.2688 0.0000 0.0242
(0.0610) (0.0385) (0.6622) (0.0263)
2 2.0218 0.1619 9.3893 0.0000 0.1451
(0.1441) (0.0191) (0.1937) (0.0000)
3 3.2147 0.2759 0.5463 0.0369 0.1850
(0.0784) (0.0143) (0.0988) (0.0051)
4 0.8218 0.4365 2.9303 0.0278 0.2424
(0.0272)
5 0.4487
(0.0272)
(0.0056)
0.1307
(0.0056)
(0.0037)
0.0494
(0.0037)
(0.0039)
0.0000
(0.0000)
0.4032
120