Overview
Description
Computing using statistical software. Resampling and simulation: bootstrap, Monte Carlo, and Markov chain methods. Numerical inference for non-standard models. Bayesian inference. Advanced graphics.
Requirements
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Attributes
Standard
Learning Outcomes
- organize and present information in graphical and numerical forms to support concise, comprehensible, and scientifically defensible written conclusions/knowledge to research problems.
- create computational solutions to answer statistical questions for traditional and non-standard models using a high-level programming language.
- organize computational research findings in a professional report suitable for presentation to a variety of audiences