In [1]:

    

import numpy as np

import thinkbayes2
from thinkbayes2 import Pmf, Cdf, Suite, Beta
import thinkplot

% matplotlib inline


    

In [7]:

    

missile = Beta(2,3, label='missile')
thinkplot.Pdf(missile.MakePmf())
missile.Mean()


    

    
Out[7]:





0.4






    

In [9]:

    

blaster9000 = Beta(2,3, label='missile')
thinkplot.Pdf(missile.MakePmf())


    

In [10]:

    

blaster9000.Update((2,8))


    

In [13]:

    

(blaster9000.MakePmf()).MaximumLikelihood()


    

    
Out[13]:





0.23

In [14]:

    

class AlienBlaster(Suite):
    def Likelihood(self, data, hypo):
        x = hypo
        return (x)**12 * (1-x)**12


    

In [17]:

    

blaster10000 = AlienBlaster(range(0, 101))


    

In [18]:

    

thinkplot.Pdf(blaster10000)


    

In [23]:

    

blaster10000.Update('d')


    

    
Out[23]:





5.0634799637594e+47

In [24]:

    

thinkplot.Pdf(blaster10000)


    

In [26]:

    

def Likelihood(self, data, hypo):
    like = (1-x)**4 + 4x**2(1-x)**2 + x**4


    

    




  File "<ipython-input-26-be9f9a442908>", line 2
    like = (1-x)**4 + 4x**2(1-x)**2 + x**4
                       ^
SyntaxError: invalid syntax

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