Articles
All vignettes
- StatComp Project 1 (2022/23): Simulation and sampling
Statistical Computing (2022/23): Coursework project 1
- StatComp Project 1 (2022/23): Hints
- StatComp Project 2: Scottish weather
Statistical Computing (2022/23): Coursework project 2
- StatComp Project 2 (2022/23): Hints
- Tutorial 01: R and linear models
Statistical Computing: Lab tutorial 1
- Tutorial 01: R and linear models (solutions)
Statistical Computing: Lab tutorial 1
- Tutorial 02: Optimization
Statistical Computing: Lab tutorial 2
- Tutorial 02: Optimization (solutions)
Statistical Computing: Lab tutorial 2
- Tutorial 03: Monte Carlo integration
Statistical Computing: Lab tutorial 3
- Tutorial 03: Monte Carlo integration (solutions)
Statistical Computing: Lab tutorial 3
- Tutorial 04: Uncertainty and integration
Statistical Computing: Lab tutorial 4
- Tutorial 04: Uncertainty and integration (solutions)
Statistical Computing: Lab tutorial 4
- Tutorial 06: Prediction assessment with proper scores
Statistical Computing: Lab tutorial 6
- Tutorial 06: Prediction assessment with proper scores (solutions)
Statistical Computing: Lab tutorial 6
- Tutorial 07: Data wrangling and cross validation
Statistical Computing: Lab tutorial 7
- Tutorial 07: Data wrangling and cross validation (solutions)
Statistical Computing: Lab tutorial 7
- Tutorial 08: Floating point computations and least squares
Statistical Computing: Lab tutorial 8
- Tutorial 08: Floating point computations and least squares (solutions)
Statistical Computing: Lab tutorial 8
- Tutorial 09: Bootstrap and Pareto smoothed importance sampling
Statistical Computing: Lab tutorial 9
- Tutorial 09: Bootstrap and Pareto smoothed importance sampling (solutions)
Statistical Computing: Lab tutorial 9
- StatComp Project Example: Numerical statistics
Statistical Computing: Coursework project example
- StatComp Project Example Solution: Numerical Statistics
- Quiz 1 Solution (StatComp 2021/22)
- Tutorial 04: Uncertainty and integration (full solution)