A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models

Ähnliche Einträge

• Structural identifiability of partially-observed stochastic processes: from single-particle trajectories to total particle density data
  von: Ceccarelli, Arianna, et al.
  Veröffentlicht: (2026)
• Approximate solutions of a general stochastic velocity-jump model subject to discrete-time noisy observations
  von: Ceccarelli, Arianna, et al.
  Veröffentlicht: (2024)
• Trans-dimensional Bayesian model averaging for $^{13}$C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty
  von: Jadebeck, Johann F., et al.
  Veröffentlicht: (2026)
• Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior
  von: Yang, Yunqi, et al.
  Veröffentlicht: (2025)
• Model-based calibration of gear-specific fish abundance survey data as a change-of-support problem
  von: Chiu, Grace S., et al.
  Veröffentlicht: (2025)