Dynamic factor analysis for sparse and irregular longitudinal data: an application to metabolite measurements in a COVID-19 study

Documenti analoghi

• Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
  di: Cai, Jiachen, et al.
  Pubblicazione: (2023)
• Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
  di: Liu, Yang, et al.
  Pubblicazione: (2020)
• Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID‐19 Study
  di: Jiachen Cai, et al.
  Pubblicazione: (2026)
• Chained Markov melding using divide and conquer sequential Monte Carlo
  di: Liu, Yixuan, et al.
  Pubblicazione: (2026)
• Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework
  di: Liu, Yang, et al.
  Pubblicazione: (2021)