# <markdowncell> # ### Rerun the model # <codecell> sim.run(0, 12) # <markdowncell> # ### Plot the posterior histogram # <codecell> model.plot_distributions() # <markdowncell> # ### Plot the posterior histogram with the normal approximation # <codecell> model.plot_distributions(show_normal=True) # <markdowncell> # ### Fit the model parameter, $a$, and the initial value of the variable, $h$ # <codecell>
# <markdowncell> # ### Rerun the model # <codecell> sim.run(0,12) # <markdowncell> # ### Plot the posterior histogram # <codecell> model.plot_distributions() # <markdowncell> # ### Plot the posterior histogram with the normal approximation # <codecell> model.plot_distributions(show_normal=True) # <markdowncell> # ### Fit the model parameter, $a$, and the initial value of the variable, $h$ # <codecell>
# <codecell>
model=MCMCModel(sim,{'b':[0,10]})
model.fit(iter=25000)
# <codecell>
model.b
# <codecell>
sim.run(5)
# <codecell>
model.plot_distributions()
# <codecell>
model.sigma
# <codecell>
print "The parameter b has best estimate",model.mu['b'],' +/- ',model.sigma['b']
# <markdowncell>
# ## A linear growth example
#
# Data from [http://www.seattlecentral.edu/qelp/sets/009/009.html](http://www.seattlecentral.edu/qelp/sets/009/009.html)
# <codecell>
model = MCMCModel(sim, {'b': [0, 10]})
model.fit(iter=25000)
# <codecell>
model.b
# <codecell>
sim.run(5)
# <codecell>
model.plot_distributions()
# <codecell>
model.sigma
# <codecell>
print "The parameter b has best estimate", model.mu['b'], ' +/- ', model.sigma[
'b']
# <markdowncell>
# ## A linear growth example
#
# Data from [http://www.seattlecentral.edu/qelp/sets/009/009.html](http://www.seattlecentral.edu/qelp/sets/009/009.html)
sim.run(0, 350)
# <codecell>
model = MCMCModel(
sim, {
'beta0': [0, 1],
'invGamma': [3.5, 10.7],
'beta1': [0, 1],
'q': [0, 100],
'tau': [100, 150],
'invk': [5, 22]
})
#model = MCMCModel(sim,{'invGamma':[3.5,10.7],'q':[0,10]})
model.fit(iter=500)
model.plot_distributions()
# <codecell>
Beta0 = model.beta0
# <codecell>
Beta1 = model.beta1
# <codecell>
#beta = (Beta0 + Beta1)/2
# <codecell>