Bayesian 2 Flashcards

1
Q

Sequential analysis

A

you can keep looking at the data because of the updating factor. In normal hypothesis testing this increases you’re type I error. With Bayesian you can look at a plot of how BF evolves as we accumulate knowledge.

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2
Q

Uniform prior distributions

A

Uninformative prior, one line.

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3
Q

Domain

A

Prior distribution is on the same domain as the parameter of interest. For a proportion it’s between 0 and 1. Correlation between -1 and 1 and means till infinity.

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4
Q

Stretched Beta Distribution

A

Data had been stretched on the same domain as the parameter.

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5
Q

Truncated stretched beta distribution

A

one sided hypothesis stretched distribution

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6
Q

Delta (Cohen’s d)

A

Differences between groups; a standardized difference between groups. Goes 0 to 2. Used with a T-test.

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