a) Summaries for sigma.theta Summary autocorrelation I will also

a) Summaries for sigma.theta
Summary
node
mean
sigma.theta
sd
6.406
MC error 2.5%
5.51
0.2333
median
0.1843
97.5%
5.041
start
20.47
sample
1001
10000
History
sigma.theta
60.0
40.0
20.0
0.0
1001
2500
5000
7500
10000
iteration
autocorrelation
sigma.theta
sigma.theta sample: 10000
1.0
0.5
0.0
-0.5
-1.0
0.15
0.1
0.05
0.0
0
20
40
-20.0
0.0
20.0
40.0
lag
I will also give an example of theta[1]
node
mean
sd
theta[1] 10.99
theta[1]
MC error 2.5%
8.137
0.2656
median
-1.934
97.5%
9.941
start
30.95
sample
1001
10000
60.0
40.0
20.0
0.0
-20.0
1001
2500
5000
7500
10000
iteration
theta[1]
theta[1] sample: 10000
1.0
0.5
0.0
-0.5
-1.0
0.08
0.06
0.04
0.02
0.0
0
20
40
lag
-40.0
0.0
20.0
40.0
b) Information for sigma.theta after 10000 iterations
node
mean
sigma.theta
sd
1.529
MC error 2.5%
1.154
0.0337
median
0.5152
97.5%
1.169
start
4.706
sample
1001
10000
sigma.theta
30.0
20.0
10.0
0.0
1001
2500
5000
7500
10000
iteration
sigma.theta
sigma.theta sample: 10000
1.0
0.5
0.0
-0.5
-1.0
1.0
0.75
0.5
0.25
0.0
0
20
40
0.0
10.0
20.0
lag
node
mean
theta[1] 7.576
theta[1]
sd
4.382
MC error 2.5%
0.3033 -0.8961
median
7.501
97.5%
15.99
start
1001
sample
10000
40.0
20.0
0.0
-20.0
1001
2500
5000
7500
10000
iteration
theta[1]
theta[1] sample: 10000
1.0
0.5
0.0
-0.5
-1.0
0.1
0.075
0.05
0.025
0.0
0
20
40
lag
-20.0
0.0
20.0