@InProceedings{inoue_et_al:LIPIcs.COSIT.2024.12,
  author =	{Inoue, Ryo and Aoki, Kenya},
  title =	{{Exploring Discrete Spatial Heterogeneity Across Quantiles: A Combination Approach of Generalized Lasso and Conditional Quantile Regression}},
  booktitle =	{16th International Conference on Spatial Information Theory (COSIT 2024)},
  pages =	{12:1--12:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-330-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{315},
  editor =	{Adams, Benjamin and Griffin, Amy L. and Scheider, Simon and McKenzie, Grant},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2024.12},
  URN =		{urn:nbn:de:0030-drops-208272},
  doi =		{10.4230/LIPIcs.COSIT.2024.12},
  annote =	{Keywords: discrete spatial heterogeneity, generalized lasso, conditional quantile regression}
}