6 citations · 9 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2024★ 2 cited
Interpretable data-driven turbulence modeling for separated flows using symbolic regression with unit constraints
Boqian Zhang, Juanmian Lei
Machine learning techniques have been applied to enhance turbulence modeling in recent years. However, the "black box" nature of most machine learning techniques poses significant…
stat.ME2022★ 1 cited
Bayesian Repulsive Mixture Modeling with Matérn Point Processes
Hanxi Sun, Boqian Zhang, Minhyeok Kim +1
Mixture models are a standard tool in statistical analyses, widely used for density modeling and model-based clustering. In this work, we propose a Bayesian mixture model with repu…
stat.CO2017★ 6 cited
Efficient parameter sampling for Markov jump processes
Boqian Zhang, Vinayak Rao
Markov jump processes (MJPs) are continuous-time stochastic processes widely used in a variety of applied disciplines. Inference for MJPs typically proceeds via Markov chain Monte…