Syllabus

SubjectBAYESIAN STATISTICS [DS2]

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
09201
Subject Sort
B3211
Title
BAYESIAN STATISTICS
Field
Fundamental Subjects - Subjects of Data Science - Data Science 2
Unit
2 Unit
Year/Semester
2023 Fall
K-Number
FPE-CO-03022-221-12
Year/Semester
2023 Fall
Day of Week・Period
Fri 4th
Lecturer Name
Kazuki Nishio
Class Format
Online (Live)
Language
Japanese
Location
SFC, Other
Class Style
*Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Lecture, Seminar
GIGA Certificate
Not applied

Detail

Course Summary

In recent years, Bayesian statistics has been attracting attention in various fields such as economics, finance, medicine, psychology, and marketing. In this lecture, starting from the basics of classical statistics, I will explain Bayes' theorem, Bayesian inference, Markov chain Monte Carlo methods, model selection in Bayesian statistics, and so on. Exercises using the free statistical software Python will be included in this lecture.