Skip to main content
King Abdullah University of Science and Technology
Communication and Computing Systems Lab
CCSL
Communication and Computing Systems Lab
  • Home
  • People
    • All Profiles
    • Principal Investigator
    • Postdoctoral Fellows
    • Research Scientists
    • Research Staff
    • Students
    • Alumni
    • Former Members
  • Research
    • Wireless Communication
    • Body Area Network
    • AI Accelerator
    • All Projects
  • Publications
    • Publications
    • Google Scholar
    • DBLP
    • IEEE Xplore
    • KAUST Repository
    • ORCID
  • Events
  • Media Gallery
  • Contacts
  • Join us

nonparametric estimation

Conditional Kernel Density Estimation For Dependent Data, Mean Shift Algorithm and Predictive Regions in Human Health

Prof. Mohamed El Machkouri, Associate professor, Applied Mathematics, University of Rouen Normandy

Feb 12, 16:00 - 17:30

B1 L4 R4102

nonparametric estimation

In this talk, we present theoretical asymptotic results for the nonparametric estimation of the conditional density of a scalar response variable Y given the explanatory X taking values in a finite-dimensional space when the sample of observations is considered as a sequence of dependent random variables.

Communication and Computing Systems Lab (CCSL)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice