@article{lee2025bayesian,
	title = {BLAST: A Bayesian Lasso Tail Index Regression Model with an Application to Extreme Wildfires},
	author = {Lee, {Myung Won} and {de Carvalho}, Miguel and Paulin, Daniel and Pereira, Soraia and Trigo, Ricardo and {Da Camara}, Carlos},
	year = {2025}
}

@incollection{decarvalho2025regression,
	title = {Regression Models for Extreme Events},
	author = {{de Carvalho}, Miguel and {Palacios Ramirez}, Vianey and Henriques-Rodrigues, Lígia and Lee, {Myung Won}},
	year = {2025, to appear},
	booktitle = {Handbook on Statistics of Extremes},
	chapter = {6},
	publisher = {Chapman \& Hall/CRC},
	pages = {101--112},
	note = {This is Chapter 6 of Handbook on Statistics of Extremes.},
	editor = {{de Carvalho}, Miguel and Huser, Raphaël and Naveau, Philippe and Reich, {Brian J.}}
}

@book{decarvalho2025handbook,
	year = {2025, to appear},
	editor = {{de Carvalho}, Miguel and Huser, Raphaël and Naveau, Philippe and Reich, {Brian J.}},
	title = {Handbook on Statistics of Extremes},
	booktitle = {Handbook on Statistics of Extremes},
	author = {{de Carvalho}, Miguel and others.},
	publisher = {Chapman \& Hall/CRC}
}

@article{richards2024diss,
	title={Jordan Richards, Myung Won Lee, Viviana Carcaiso, and Miguel de Carvalho's contribution to the Discussion of “Inference for extreme spatial temperature events in a changing climate with application to Ireland” by Healy et al.}
	journal = {Journal of the Royal Statistical Society Series C: Applied Statistics},
	author = {Richards, Jordan and Lee, {Myung Won} and Carcaiso, Viviana and {de Carvalho}, Miguel},
	year = {2024},
	publisher={Oxford University Press}
}

@inproceedings{lee2023bayesian,
	title = {Bayesian Regularisation for Tail Index Regression},
	author = {Lee, {Myung Won} and {de Carvalho}, Miguel and Paulin, Daniel and Pereira, Soraia and Trigo, Ricardo and {Da Camara}, Carlos}
	journal = {37th IWSM Proceedings},
	year = {2023},
	pages = {493--496},
	volume = {37},
	issue = {1},
	isbn = {978-3-947323-42-5}
}

@thesis{lee2022rssnal,
	title = {Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems with Implementation in R},
	author = {Lee, {Myung Won}, Renfrew, Michael, Paulin, Daniel},
	year = {2022},
	note = {Honours degree thesis},
	school = {University of Edinburgh},
	address = {Edinburgh, United Kingdom}
}