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==================================================
conditioning distribution= JointDistribution(Uniform(a = 0, b = 1), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2))
Distribution PosteriorDistribution(compound distribution = CompoundDistribution(X with X|Theta~Normal(Theta), Theta=f(Y), f=id_2, Y~JointDistribution(Uniform(a = 0, b = 1), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2))), observations =
[ X0 ]
0 : [ 1.4123 ]
1 : [ -1.39926 ]
2 : [ -0.157398 ]
3 : [ 2.30822 ]
4 : [ -2.77208 ])
range= [0, 1]
[1, 2]
Mean [0.408932,1.65873]
Covariance [[ 0.0737985 0.00565287 ]
[ 0.00565287 0.0516131 ]]
Elliptical distribution= False
Elliptical copula= False
Independent copula= False
Mean point= [0.408932,1.65873] pdf=1.6238 cdf=0.26218
Quantile= [0.946843,1.98454]
CDF(quantile)=0.95
margin= MarginalDistribution(distribution=PosteriorDistribution(compound distribution = CompoundDistribution(X with X|Theta~Normal(Theta), Theta=f(Y), f=id_2, Y~JointDistribution(Uniform(a = 0, b = 1), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2))), observations =
[ X0 ]
0 : [ 1.4123 ]
1 : [ -1.39926 ]
2 : [ -0.157398 ]
3 : [ 2.30822 ]
4 : [ -2.77208 ]), indices=[0])
margin PDF= [1.12641]
margin CDF= [0.541543]
margin quantile= [0.900147]
margin= MarginalDistribution(distribution=PosteriorDistribution(compound distribution = CompoundDistribution(X with X|Theta~Normal(Theta), Theta=f(Y), f=id_2, Y~JointDistribution(Uniform(a = 0, b = 1), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2))), observations =
[ X0 ]
0 : [ 1.4123 ]
1 : [ -1.39926 ]
2 : [ -0.157398 ]
3 : [ 2.30822 ]
4 : [ -2.77208 ]), indices=[1])
margin PDF= [1.44124]
margin CDF= [0.456168]
margin quantile= [1.96961]
conditioned= Normal(mu = 0, sigma = 1)
conditioning= Uniform(a = 0.5, b = 1.5)
link= [y]->[0.0,y]
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