A Parameter-Free Diagnostic Framework for Time-Series Detrending Assessment in Real World and Simulation: A New Algorithm Applicable from Financial Markets to Flood Risk Management

Hermann Prossinger, Martin Stachon, Natálie Cermáková, Daniel Ríha, Jakub Binter. A Parameter-Free Diagnostic Framework for Time-Series Detrending Assessment in Real World and Simulation: A New Algorithm Applicable from Financial Markets to Flood Risk Management. In Xiaowen Fang, editor, HCI in Games - 8th International Conference, HCI-Games 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part I. Volume 16739 of Lecture Notes in Computer Science, pages 355-371, Springer, 2026. [doi]

@inproceedings{ProssingerSCRB26,
  title = {A Parameter-Free Diagnostic Framework for Time-Series Detrending Assessment in Real World and Simulation: A New Algorithm Applicable from Financial Markets to Flood Risk Management},
  author = {Hermann Prossinger and Martin Stachon and Natálie Cermáková and Daniel Ríha and Jakub Binter},
  year = {2026},
  doi = {10.1007/978-3-032-30405-6_22},
  url = {https://doi.org/10.1007/978-3-032-30405-6_22},
  researchr = {https://researchr.org/publication/ProssingerSCRB26},
  cites = {0},
  citedby = {0},
  pages = {355-371},
  booktitle = {HCI in Games - 8th International Conference, HCI-Games 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26-31, 2026, Proceedings, Part I},
  editor = {Xiaowen Fang},
  volume = {16739},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-032-30405-6},
}