7 citations · 9 across the 9 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Newton-Schulz Retraction-Based Inference Enables Hidden Quantum Markov Models to Outperform Classical HMMs
Ning Ning
Hidden Markov models (HMMs) are widely used probabilistic models for discrete sequential data but can be limited when hidden dynamics are complex. Hidden quantum Markov models (HQM…
stat.ME2026
Change-point estimation for Weibull time series with copula-based Markov models
Li-Hsien Sun, Zong-Yuan Huang, Yi-Ling Huang +2
We study offline change-point estimation for time series data exhibiting nonlinear serial dependence. To address this problem, we propose a copula-based Markov chain model with Wei…