Advanced Inference in Covariate-Driven Hidden Markov Models

This ArXiv article likely presents novel methods for inferring state occupancy within hidden Markov models, considering covariate influences. The work appears technically focused on statistical modeling, potentially advancing applications where state estimation and external factor integration are crucial.

• •Focuses on inference within Hidden Markov Models (HMMs).
• •Incorporates covariate information.
• •Presented on ArXiv indicating early research stage.