C. D. Da Silva

Latent Inferred Scale Adaptation (I.S.A) for Residual Modeling Under Nonstationary Regimes

Residual variability in estimation problems is commonly modeled under fixed-dispersion assumptions, although practical residual sequences often exhibit nonstationary behavior and locally evolving uncertainty. This work presents a hierarchical Bayesian architecture for probabilistic residual modeling in which latent unc...