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Commit 101f5b5e authored by Mirko Birbaumer's avatar Mirko Birbaumer
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renaming MCMC notebooks

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    notebooks/MCMC/metro_walk.ipynb → notebooks/MCMC/MCMC_3_5_1.ipynb
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    notebooks/MCMC/MCMC_3_5_2.ipynb 0 → 100644
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    %% Cell type:code id: tags:
    ``` python
    %matplotlib inline
    import matplotlib.pyplot as plt
    import metropolis_commands as mc
    plt.rcParams['figure.figsize'] = [10, 5]
    ```
    %% Cell type:code id: tags:
    ``` python
    mc.metro_beta_walk_hist(n=10000, a=5, b=2, init=0.8, step_sd=.2)
    ```
    %% Output
    %% Cell type:code id: tags:
    ``` python
    ```
    notebooks/MCMC/metro_hist.ipynb → notebooks/MCMC/MCMC_3_5_3.ipynb
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    notebooks/MCMC/Untitled.ipynb 0 → 100644
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    %% Cell type:code id:9b27cc58-6e9d-4e3a-9c5b-a9d1f2080022 tags:
    ``` python
    from scipy.stats import uniform
    n = 1000
    x = uniform.rvs(size=1000, loc=0, scale=1)
    ```
    %% Cell type:code id:98bb71fa-bc54-4e6b-a6c5-5639ffc3b16d tags:
    ``` python
    import numpy as np
    from scipy.stats import uniform
    n = 1000
    x = uniform.rvs(size=1000, loc=0, scale=1)
    integrand = np.exp(-np.square(x)/2)
    ```
    %% Cell type:code id:e9d73b09-de8f-472b-b448-c20b35462143 tags:
    ``` python
    from math import pi
    import numpy as np
    from scipy.stats import uniform
    n = 1000
    x = uniform.rvs(size=1000, loc=0, scale=1)
    integrand = np.exp(-np.square(x)/2)
    integral = 1/(np.sqrt(2*pi))*np.sum(integrand)/n
    print(integral)
    ```
    %% Output
    0.34320423614573237
    %% Cell type:code id:7eee71cd-16c8-484e-8171-ee506ae2b254 tags:
    ``` python
    from scipy.stats import norm
    integral = norm.cdf(1)-norm.cdf(0)
    print(integral)
    ```
    %% Output
    0.3413447460685429
    %% Cell type:code id:d7083f3a-e905-417a-9afb-7ac22debd3a1 tags:
    ``` python
    ```
    notebooks/MCMC/metro_beta_walk_hist.ipynb deleted 100644 → 0
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    %% Cell type:code id: tags:
    ``` python
    %matplotlib inline
    import matplotlib.pyplot as plt
    import metropolis_commands as mc
    plt.rcParams['figure.figsize'] = [10, 5]
    ```
    %% Cell type:code id: tags:
    ``` python
    mc.metro_beta_walk_hist(n=10000, a=5, b=2, init=0.8, step_sd=.2)
    ```
    %% Output
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