3. Sampling the Imaginary
Overview
The natural frequency phenomenon is not unique
Why statistics can’t save bad science
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3.1 Sampling from a grid-approximate posterior
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3.2 Sampling to summarize
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3.2.1 Intervals of defined boundaries
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Counting with
sum
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3.2.2 Intervals of defined mass
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Why 95%?
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What do confidence intervals mean?
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3.2.3 Point estimates
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3.3 Sampling to simulate prediction
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3.3.1 Dummy data
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Sampling distributions
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3.3.2 Model checking
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3.3.2.1 Did the software work?
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3.3.2.2 Is the model adequate?
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What does more extreme mean?
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3.4 Summary