STAT 420
Topics in Computational Statistics: Computational Statistics
Lec 01 selected
This course will cover topics in using computers to solve statistical problems. Possible subjects include: computational methods/toolkits for data wrangling, exploration, visualization and analysis with R/Python; R/python for data science; computational techniques (e.g. optimization, integration, algebra) for statistical inference; computing intensive statistical methods (e.g. bootstrapping methods, sample-size determination, Monte Carlo methods).
Sections
Lecture
Lec 01
Tue, Thu 10:00-11:20
Syllabus
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