Plots for prior and posterior samples

[V-Rang]

Attaching plots for samples taken from prior and posterior for two examples - example/poisson_dirichlet_example.py and example/sfsi_toy_gaussian.py

commit: 6a30e9d

Poisson Dirichlet example:

The base case is
noise_variance = 1e-4
prior_param = {"gamma": 0.03, "delta": 0.3}

Scaling factor, s is varied as 2,4,6,78,10 where modifications are made as:
noise_variance = (1/s^2) *base noise_variance
gamma = s * base gamma
delta = s * base delta
3 samples are generated for each value of scaling factor.

true parameter:

s = 2

posterior samples

s = 4

posterior samples

s = 6

posterior samples

s = 8

posterior samples

s = 10

posterior samples

qpact example:

The base case is
noise_variance = 1e-6
prior_param = {"gamma": 0.04, "delta": 0.8}

Scaling factor, s is varied as 2,4,6,78,10 where modifications are made as:
noise_variance = (1/s^2) *base noise_variance
gamma = s * base gamma
delta = s * base delta
3 samples are generated for each value of scaling factor.

true parameter:

s = 2

posterior samples

s = 4

posterior samples

s = 6

posterior samples

s = 8

posterior samples

s = 10

posterior samples