| Trees | Indices | Help |
|---|
|
|
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
n = 10000Generate a sample of size 10000 from ... |
|||
S1 = array([[ 1.46750682, 0.0453567
|
|||
A1 = array([[ 2.7, 1.
|
|||
X1 = array([[ 3.91691161, 1.4675068Generate a sample of size 10000 from ... |
|||
S2 = array([[ 0.37111033, 0.9078241
|
|||
A2 = array([[ 0.5, 0.
|
|||
X2 = array([[-0.2683569 , 0.6394672Generate a sample of size 10000 from ... |
|||
S3 = array([[ 0.7889333 , 2.0093200
|
|||
A3 = array([[ 0.5, 0.
|
|||
X3 = array([[-0.61019339, 1.3991266
|
|||
|
|||
n
Generate a sample of size 10000 from
X = [[2.7, 1], S
[-1., 0.]]
where
S_1 ~ N(0,1)
S_2 ~ N(0,1) + Bernoulli(0.4) * 7
|
S1
|
A1
|
X1
Generate a sample of size 10000 from
X = [[0.5, 0.5], S
[-0.5, 0.5]]
where
S_1 ~ Uniform(0,1)
S_2 ~ Uniform(0,1)
|
S2
|
A2
|
X2
Generate a sample of size 10000 from
X = [[0.5, 0.5], S
[-0.5, 0.5]]
where
S_1 ~ Exponential(1)
S_2 ~ Uniform(0,1) + Exponential(1)
|
S3
|
A3
|
X3
|
| Trees | Indices | Help |
|---|
| Generated by Epydoc 3.0beta1 on Tue Jun 3 09:41:20 2008 | http://epydoc.sourceforge.net |