- Structure learning benchmarks in Scutari, Graafland and Gutiérrez,
International Journal of Approximate Reasoning (2019)
- The
`makefile`

- Generating the data
- Performing structure learning
- Collecting summary statistics
- Generating the figures

- Benchmarking optimizations in Scutari, Vitolo and Tucker, Statistics and Computing (2019)
- Benchmarks on the MEHRA network
- Benchmarks on other large data sets

- Analysis of pollution, climate and health data in Vitolo et al., Earth and Space Science (2018)
- The data
- Learning the Bayesian network

- Analysis of class III malocclusion in Scutari et al., Scientific Reports (2017)
- The data
- Preprocessing and exploratory data analysis
- Learning the Bayesian network
- Model validation
- Interesting questions

- Parallel structure learning benchmarking in Scutari, Journal of Statistical Software (2017)
- Parallel computing benchmarks
- Symmetry correction benchmarks

- Structure learning benchmarks in Scutari, Journal of Machine Learning Research (2016)
- Learning the network structures
- Computing the metrics of interest to compare different network scores
- Computing the averaged metrics for each network and sample size
- Plotting the metrics of interest, for visual inspection
- Plotting the metrics of interest, for slides presentations

- Analysis of the MAGIC population in Scutari
*et al.*, Genetics (2014)
- Reading and preparing the preprocessed data
- Performing cross-validation
- Averaging the network structures
- Plotting the averaged network