Lab 4: Model Building II: Model Assessment
Start Feb 5 –- Due Feb 12
Goals
In this lab, students will learn to:
Build a descriptive model based on results of analysis with a simpler model
Implement a complex physical model within a probabilistic programming language
Fit a non-linear model to data
Test the validity of model fitting
Evaluate the quality of a model fit
Assess sensitivity to outliers
Compare the parameters estimated from two models
Compare the posterior predictive distributions of two models
Students will strengthen their astronomical knowledge by:
Measuring Hubble constant from observations of supernovae
Detecting transit timing variations for a transiting exoplanet
Instructions
Work through the ex1.jl and ex2.jl (Pluto notebooks) and save updates in your personal repository.
Once the instrctor and/or TA has provided feedback, review the feedback
Resources
Think Julia: Ch 1 "The Way of the Program"