other methods - bayesian Flashcards

(16 cards)

1
Q

What is the main idea behind Bayesian statistics?

A

Bayesian statistics is about updating your beliefs based on new evidence.

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2
Q

What are the three components of Bayes’ Theorem?

A

Prior (initial belief), Likelihood (evidence from data), Posterior (updated belief).

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3
Q

What is the formula for Bayes’ Theorem in words?

A

Posterior = Likelihood × Prior.

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4
Q

Give a real-world example of Bayesian reasoning.

A

You think it won’t rain (prior), but see grey clouds (evidence), so you now think rain is more likely (posterior).

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5
Q

How does Bayesian inference differ from NHST?

A

Bayesian inference compares the probability of H₁ vs. H₀ given the data, while NHST calculates how likely the data is if H₀ is true.

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6
Q

What is a Bayes Factor (BF)?

A

A ratio that compares how likely the data is under H₁ vs. H₀.

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7
Q

What does a Bayes Factor of 3 mean?

A

H₁ is 3 times more likely than H₀ given the data.

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8
Q

What does a Bayes Factor of 1/3 mean?

A

H₀ is 3 times more likely than H₁ given the data.

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9
Q

What does a Bayes Factor close to 1 indicate?

A

There is not much evidence in favor of either hypothesis.

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10
Q

What is a credible interval?

A

A Bayesian interval that shows the range where the true value likely lies, interpreted directly as probability.

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11
Q

How is a credible interval different from a confidence interval?

A

Credible intervals reflect the probability that the parameter lies within the interval, while confidence intervals do not.

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12
Q

Why do people prefer Bayesian methods?

A

They allow prior knowledge, provide probabilities about hypotheses, are intuitive, and flexible.

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13
Q

Can Bayesian methods provide evidence for the null hypothesis?

A

Yes, unlike NHST, Bayesian methods can support the null when BF < 1.

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14
Q

What is the philosophical appeal of Bayesian statistics?

A

It matches how people naturally think—adjusting beliefs based on new evidence.

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15
Q

What are ‘frequentists’ in statistics?

A

Statisticians who use traditional NHST methods focusing on p-values.

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16
Q

What does the Bayesian approach allow that NHST doesn’t?

A

It allows testing any hypothesis, not just the ‘no difference’ null hypothesis.