To cite bnlearn in publications use the most appropriate among:
A teaching book about Bayesian networks based on bnlearn:
Scutari M, Denis J (2021). Bayesian Networks with Examples in R, 2nd edition. Chapman and Hall, Boca Raton. ISBN 978-0367366513.
To cite applications of Bayesian networks in genetics and systems biology you may want to use:
Nagarajan R, Scutari M (2013). Bayesian Networks in R with Applications in Systems Biology. Springer, New York. doi:10.1007/978-1-4614-6446-4, ISBN 978-1-4614-6445-7, 978-1-4614-6446-4.
To cite parallel computing for bnlearn in publications use:
Scutari M (2017). “Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the bnlearn R Package.” Journal of Statistical Software, 77(2), 1–20. doi:10.18637/jss.v077.i02.
To cite general use of bnlearn in publications use:
Scutari M (2010). “Learning Bayesian Networks with the bnlearn R Package.” Journal of Statistical Software, 35(3), 1–22. doi:10.18637/jss.v035.i03.
This last is the original JSS paper for the package.
Corresponding BibTeX entries:
@Book{,
title = {Bayesian Networks with Examples in {R}},
author = {Marco Scutari and Jean-Baptiste Denis},
edition = {2nd},
publisher = {Chapman and Hall},
address = {Boca Raton},
year = {2021},
note = {ISBN 978-0367366513},
}
@Book{,
title = {Bayesian Networks in {R} with Applications in Systems
Biology},
author = {Radhakrishnan Nagarajan and Marco Scutari},
publisher = {Springer},
address = {New York},
year = {2013},
note = {ISBN 978-1-4614-6445-7, 978-1-4614-6446-4},
doi = {10.1007/978-1-4614-6446-4},
}
@Article{,
title = {Bayesian Network Constraint-Based Structure Learning
Algorithms: Parallel and Optimized Implementations in the
{bnlearn} {R} Package},
author = {Marco Scutari},
journal = {Journal of Statistical Software},
year = {2017},
volume = {77},
number = {2},
pages = {1--20},
doi = {10.18637/jss.v077.i02},
}
@Article{,
title = {Learning Bayesian Networks with the {bnlearn} {R}
Package},
author = {Marco Scutari},
journal = {Journal of Statistical Software},
year = {2010},
volume = {35},
number = {3},
pages = {1--22},
doi = {10.18637/jss.v035.i03},
}