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State Space Modeling of the Ornstein-Uhlenbeck Process with Measurement Error: An Application to Microbiome Data
Understanding the temporal dynamics of the human microbiome is critical for deciphering host-microbe interactions and identifying responses to environmental or physiological disruptions. In this study, we develop a likelihood-based framework grounded in Ornstein-Uhlenbeck (OU) state-space modeling t
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