17 lines
497 B
Plaintext
17 lines
497 B
Plaintext
# Introductory Bayesian Inference
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## Module 1: Foundations
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### Descriptive Statistics
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- Objective: Explain mean, median, and variance.
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- Exercise: Summarize a small dataset.
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### Probability Basics
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- Objective: Explain conditional probability.
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- Exercise: Compute a simple conditional probability.
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## Module 2: Bayesian Updating
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### Prior and Posterior
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- Objective: Explain a prior distribution.
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- Objective: Explain how evidence changes belief.
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- Exercise: Compare prior and posterior beliefs.
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