Advanced Time Series & Clock Networks -- WSDS 2026

Real Time Finite-Window Exponentially Weighted Moving Estimators for Nonstationary Time Series

Teryn Cha (Essex County College)

Co-authors: Sung Hyuk Cha (Pace University)

time series online estimation exponential weighting

Shedding Light on Dark Uncertainty in Clock Measurements

Amanda Koepke (National Institute of Standards and Technology)

Co-authors: Caitlin Berry (National Institute of Standards and Technology), Angela Folz (University of Colorado, Boulder and National Institute of Standards and Technology), Suzanne Thornton (National Institute of Standards and Technology)

Hierarchical Bayesian models Random effects models Variance components Measurement uncertainty Metrology Optical atomic clocks

Advancing Statistical Methods for Next-Generation Clock Networks

Caitlin Berry (National Institute of Standards and Technology)

Co-authors: Amanda Koepke (National Institute of Standards and Technology)

Spectral analysis Time Series Variance Estimation Uncertainty Quantification Metrology Optical atomic clocks

Shape-constrained Whittle estimation of autocovariances from reversible Markov Chains

Minjun Kim (Penn state university)

Co-authors: Stephen Berg (Penn state university), Hyebin Song (Penn state university)

Markov chain Monte Carlo Shape-constrained inference Autocovariance sequence Spectral density Asymptotic variance

Advanced Time Series & Clock Networks

4 Abstracts