EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 61 (2024) ITM Web Conf., 61 (2024) 01010 References
Open Access
Issue
ITM Web Conf.
Volume 61, 2024
The 9th International Symposium on Current Progress in Mathematics and Sciences 2023 (The 9th ISCPMS 2023) in conjunction with AUA Academic Conference on the Application of Artificial Intelligences and Data Sciences in a Modern Science for a Better Life
Article Number 01010
Number of page(s) 20
DOI https://doi.org/10.1051/itmconf/20246101010
Published online 10 January 2024
  1. K. Kumari and S. Yadav, J. Pract. Cardiovasc. Sci. 4, 33–36 (2018). [CrossRef] [Google Scholar]
  2. W. Mendenhall and T. T. Sincich, A Second Course in Statistics: Regression Analysis (Pearson Education, 2020). [Google Scholar]
  3. P. Ali and A. Younas, Evid. Based. Nurs. 24, 116–118 (2021). [CrossRef] [Google Scholar]
  4. D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis (John Wiley & Sons, 2021). [Google Scholar]
  5. M. A. Babyak, Psychosom. Med. 66, 411–421 (2004). [Google Scholar]
  6. X. Ying, J. Phys. Conf. Ser. 1168, 022022 (2019). [CrossRef] [Google Scholar]
  7. K. Takezawa et al., Open J. Stat. 2, 309–312 (2012). [CrossRef] [Google Scholar]
  8. C. M. Bishop and N. M. Nasrabadi, Pattern Recognition and Machine Learning, Vol. 4 (Springer, New York, 2006). [Google Scholar]
  9. L. Dalicandro, J. A. Harder, D. Mazmanian, and B. Weaver, Quant. Meth. Psych. 17, 1–6 (2021). [CrossRef] [Google Scholar]
  10. A. Pacifico, Econom. Rev. 40, 148–176 (2021). [CrossRef] [Google Scholar]
  11. R. Jones, C. Klemenjak, S. Makonin, and I. V. Bajic, preprint arXiv:2009.07756 [cs.AI] (2020). [Google Scholar]
  12. J. Kolluri, V. K. Kotte, M. Phridviraj, and S. Razia, Proceeding of the 2020 4th International Conference on Trends in Electronics and Informatics (48184) (IEEE, 2020), pp. 934–938. [Google Scholar]
  13. W. M. Bolstad and J. M. Curran, Introduction to Bayesian Statistics (John Wiley & Sons, 2016). [Google Scholar]
  14. D. E. Jonas et al., 13-EHC039-EF (Agency for Healthcare Research and Quality, US, 2013). [Google Scholar]
  15. D. M. Blei, A. Kucukelbir, and J. D. McAuliffe, J. Am. Stat. Assoc. 112, 859–877 (2017). [CrossRef] [Google Scholar]
  16. T. S. Jaakkola and M. I. Jordan, Proceeding of the Sixth International Workshop on Artificial Intelligence and Statistics (PMLR, 1997), pp. 283–294. [Google Scholar]
  17. C. Hardouin, Spat. Stat. 31, 100365 (2019). [CrossRef] [MathSciNet] [Google Scholar]
  18. H. Rizka and Y. Widyaningsih, AIP Conf. Proc. 2374, 030007 (2021). [CrossRef] [Google Scholar]
  19. J. Drugowitsch, preprint arXiv:1310.5438 [stat.ML] (2013). [Google Scholar]
  20. T. Hastie, R. Tibshirani, J. H. Friedman, and J. H. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer, New York, 2009). [Google Scholar]
  21. M. van Oijen, in Bayesian Compendium (Springer Nature, Switzerland, 2020) pp. 17–21. [CrossRef] [Google Scholar]
  22. G. C. Cawley and N. L. Talbot, J. Mach. Learn. Res. 8, 841−861 (2007). [Google Scholar]
  23. T. P. Morris, I. R. White, and M. J. Crowther, Stat. Med. 38, 2074–2102 (2019). [CrossRef] [MathSciNet] [Google Scholar]
  24. M. J. Beal, Ph.D. Thesis, University College London, United Kingdom, 2003. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.