Practical Algebraic Parameter Estimation for Noisy Data via Gaussian Process Regression

arXiv:2609.30451 · eess.SY, cs.MS, cs.SY, math.OC · Submitted 2026-09-24 · Read on arXiv

eess.SY, cs.MS, cs.SY, math.OC

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

Benchmark — 34× in this paper · explained in 2 episodes
Gaussian Process — 10× in this paper
Gaussian Process Regression — 8× in this paper
Aggregation — 6× in this paper · explained in 1 episode
Robustness — 4× in this paper · explained in 5 episodes
Accuracy — 3× in this paper · explained in 1 episode
Bayesian Inference — 3× in this paper · explained in 5 episodes
AAA algorithm — 1× in this paper · explained in 1 episode
Adaptation — 1× in this paper · explained in 1 episode
Bayesian Framework — 1× in this paper · explained in 3 episodes
Clustering — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Dynamic Modeling — 1× in this paper · explained in 3 episodes
Local Optimization — 1× in this paper · explained in 2 episodes
Ordinary Differential Equations (ODEs) — 1× in this paper · explained in 2 episodes
Physical Constraints — 1× in this paper · explained in 7 episodes
Regularization — 1× in this paper · explained in 3 episodes
Steering — 1× in this paper · explained in 2 episodes
Symmetry Breaking — 1× in this paper · explained in 3 episodes
System Identification — 1× in this paper · explained in 3 episodes
Uncertainty Quantification — 1× in this paper · explained in 8 episodes