117 citations · 135 across the 5 of their papers we have counts for
5 papers
Sub-Gaussian Error Bounds for Hypothesis Testing
Yan Wang
We interpret likelihood-based test functions from a geometric perspective where the Kullback-Leibler (KL) divergence is adopted to quantify the distance from a distribution to anot…
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture
Dehao Liu, Yan Wang
Data sparsity is a common issue to train machine learning tools such as neural networks for engineering and scientific applications, where experiments and simulations are expensive…
Asymptotic Optimality Theory For Decentralized Sequential Multihypothesis Testing Problems
Yan Wang, Yajun Mei
The Bayesian formulation of sequentially testing hypotheses is studied in the context of a decentralized sensor network system. In such a system, local sensors observe ra…
Decentralized Multihypothesis Sequential Detection
Yan Wang, Yajun Mei
This article is concerned with decentralized sequential testing of multiple hypotheses. In a sensor network system with limited local memory, raw observations are observed at the l…
Decentralized Two-Sided Sequential Tests for A Normal Mean
Yan Wang, Yajun Mei
This article is concerned with decentralized sequential testing of a normal mean with two-sided alternatives. It is assumed that in a single-sensor network system with limited…