A general framework for modeling Gaussian process with qualitative and quantitative factors

Documenti analoghi

• Powerful Spatial Multiple Testing via Borrowing Neighboring Information
  di: Deng, Linsui, et al.
  Pubblicazione: (2022)
• The BdryMatérn GP: Reliable incorporation of boundary information on irregular domains for Gaussian process modeling
  di: Ding, Liang, et al.
  Pubblicazione: (2025)
• A general framework for probabilistic model uncertainty
  di: Shirvaikar, Vik, et al.
  Pubblicazione: (2024)
• Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity
  di: Fazio, Luna, et al.
  Pubblicazione: (2024)
• A graphical multi-fidelity Gaussian process model, with application to emulation of heavy-ion collisions
  di: Ji, Yi, et al.
  Pubblicazione: (2021)