4 citations · 4 across the 3 of their papers we have counts for
3 papers
math.PR2024
Tail Bounds for Functions of Weighted Tensor Sums Derived from Random Walks on Riemannian Manifolds
Shih-Yu Chang
This paper presents significant advancements in tensor analysis and the study of random walks on manifolds. It introduces new tensor inequalities derived using the Mond-Pecaric met…
math.PR2021
T-product Tensor Expander Chernoff Bound
Shih Yu Chang
In probability theory, the Chernoff bound gives exponentially decreasing bounds on tail distributions for sums of independent random variables and such bound is applied at differen…
math.PR2021★ 4 cited
Tensor Expander Chernoff Bounds
Shih Yu Chang
The Chernoff bound is an important inequality relation in probability theory. The original version of the Chernoff bound is to give an exponential decreasing bound on the tail dist…