Python MCMCModel.plot_joint_distribution Examples

Example #1

# <markdowncell>

# ### Plot the Results

# <codecell>

sim.run(0, 12)
model.plot_distributions(show_normal=True)

# <markdowncell>

# ### Plot the joint distribution between parameters, $a$ and $K$

# <codecell>

model.plot_joint_distribution('a', 'K', show_prior=False)

# <markdowncell>

# ...showing the joint, with the prior, to see how much the inference constrains the final best estimates of the parameters

# <codecell>

model.plot_joint_distribution('a', 'K', show_prior=True)

# <markdowncell>

# ### Sample Runs

# <codecell>

Example #2

File: MCMC Examples.py Project: hitchhiker744/pyndamics

# <markdowncell>

# ### Plot the Results

# <codecell>

sim.run(0,12)
model.plot_distributions(show_normal=True)

# <markdowncell>

# ### Plot the joint distribution between parameters, $a$ and $K$

# <codecell>

model.plot_joint_distribution('a','K',show_prior=False)

# <markdowncell>

# ...showing the joint, with the prior, to see how much the inference constrains the final best estimates of the parameters

# <codecell>

model.plot_joint_distribution('a','K',show_prior=True)

# <markdowncell>

# ### Sample Runs

# <codecell>