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Learning AI
Machine Learning cơ bản
en
English
Statistics and Math
Bayesian Statistics: A Step-by-step Introduction
6 students
Last updated
Dec 2024
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Overview
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Course content
Sections:
7
•
Activities:
0
•
Resources:
50
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Section 1
Probability Basics
001-Introduction Video
003-Probability Complements Venn Diagrams
004-Law of Total Probability
005-Conditional Probability
006-Multiplication Rule and Independence
Section 2
Bayes' Rule
009-Bayes Rule Introduction
010-Medical Testing Problem
011-Predictive Distributions and Flow Charts
012-Two Coins
013-Multiple Observations
013-Multiple Observations (copy)
014-Normalizing Constants and Proportionality
Section 3
Continuous Priors and the Uniform Distribution
017-Continuous Priors and the Uniform Distribution
018-Likelihood and Random Variables
019-Posterior Distribution One Observation
020-Posterior Probability Calculation
021-Posterior Distribution Two Observations
022-CDFs and Inverse CDFs
023-Credible Intervals
024-Mean Median Mode
025-Point Estimates
026-Predictive Distribution
Section 4
Beta-Binomial Family
028-Binomial Random Variables
029-Prior The Beta Distribution
030-Finding prior and posterior probabilities with the Beta
031-How do the hyperparameters change the prior
031-How do the hyperparameters change the prior
032-Posterior Distribution What are Conjugate Priors
033-Credible Intervals
034-Point Estimates
035-Predictive Distribution Beta Binomial
037-Recap of Priors Posteriors Likelihoods Predictive Distributions
038-Example Beta Binomial Problem with R
039-Example Beta Binomial Problem with Stan
040-Drawbacks of Conjugate Priors
Section 5
Poisson - Gamma
041-Likelihood Poisson Distribution
042-Gamma Distribution and Choosing Hyperparameters
043-Posterior Distribution
044-Posterior Calculation Example 2
045-Credible Interval and Point Estimates
046-Predictive Distribution Negative Binomial
048-Example Poisson Gamma Problem with R and Stan
Section 6
Normal - Normal
049-Normal Distribution
50-Prior Normal Distribution and choosing hyperparameters
051-Posterior Distribution and Example
52-Credible Intervals and Point Estimates
054-Example Normal Normal Problem with R and Stan
Section 7
More advanced models
055-Predictive distributions unknown variance
056-Simple Linear Regression
057-Example Simple Linear Regression Problem with R and Stan
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Bayesian Statistics: A Step-by-step Introduction
Course modified date:
30 Dec 2024
Enrolled students:
6
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