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Update app.py
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app.py
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@@ -56,4 +56,9 @@ hide_streamlit_style = """
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footer {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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footer {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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st.markdown("""
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The above visualization shows the joint effect of data and prior on the posterior. There are some interesting observations here:
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* When prior is Beta(1, 1), it becomes Uniform prior and thus uninformative. In this case, posterior matches with likelihood.
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* With an increase in the number of samples, the posterior gets closer to the likelihood. Thus, when the number of samples is less, prior plays an important role.
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""")
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