Welcome to Stats 115 - Introduction to Bayesian Data Analysis.
Basic Bayesian concepts and methods with emphasis on data analysis. Special emphasis on specification of prior distributions. Includes linear, logistic, and Poisson regression. Analyses are performed using Stan with rstan package in R.
Prerequisite: STATS 120C
Recommended STATS 110
Concurrent with STATS 203
Basic Bayesian concepts and methods with emphasis on data analysis. Special emphasis on specification of prior distributions. Includes linear, logistic, and Poisson regression. Analyses are performed using Stan with rstan package in R.
Prerequisite: STATS 120C
Recommended STATS 110
Concurrent with STATS 203
Course Goals
By the end of this course you will be able to:
By the end of this course you will be able to:
- distinguish frequentist and Bayesian statistics;
- choose appropriate prior distributions for a Bayesian model;
- use rstan to fit Bayesian models;
- interpret model results.
Typical Week Workflow
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Tuesday 9 am
Weekly course content and assignments are released on this website under Schedule.
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Tuesday 4 - 5 pm
Prof. Dogucu holds office hours.
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Wednesday 8 - 9 am
Prof. Dogucu holds office hours.
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Thursday 4 - 5 pm
Prof. Dogucu holds office hours.
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Thursday 6 pm
Weekly quizzes are due.
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Friday 6 pm
Weekly homework is due.
Important Dates
Midterm Exam August 18
Final Exam September 8