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6 papers

math.ST2026

Independence Is Not Always Consistently Testable

Senhan Yao

We study the problem of testing independence between the coordinate processes of a jointly stationary ergodic binary process from finite observations. We prove that no test is poin…

math.ST2026

Uniform Testability Implies Asymmetric Testability

Senhan Yao

We prove a filtration-level conversion from uniform fixed-time testing to all-sample one-sided error control and uniform future-tail control. Given an adapted deterministic binary…

math.ST2026

Weak but Not Strong Asymptotic Testability

Senhan Yao

The paper constructs two disjoint families of stationary ergodic binary process distributions that admit a weakly asymptotically consistent test but no strongly asymptotically cons…

math.OC2026

Invariance Entropy in the Dust

Senhan Yao

We answer negatively two natural general forms of Kawan's questions on invariance entropy for control systems, open for more than fifteen years, by a single construction. We show t…

math.OC2026

A Less Conservative Sufficient Condition for PID Stabilization of Scalar Second-Order Nonlinear Uncertain Systems

Senhan Yao

This letter studies robust set-point regulation of scalar second-order nonlinear uncertain systems using a classical PID controller with constant gains. The scalar second-order mod…

math.OC2026

On the Fundamental Limit of the Stochastic Gradient Identification Algorithm Under Non-Persistent Excitation

Senhan Yao, Longxu Zhang

Stochastic gradient (SG) methods are fundamental to system identification and machine learning, enabling online parameter estimation in large-scale and streaming-data settings. As…