163 citations · 704 across the 74 of their papers we have counts for
5 papers · 1 filter
A Stochastic Record-Value Approach to Global Simulation Optimization
Rohan Rele, Zelda Zabinsky, Giulia Pedrielli +1
Black-box optimization is ubiquitous in machine learning, operations research and engineering simulation. Black-box optimization algorithms typically do not assume structural infor…
WENDY: Covariance Dynamics Based Gene Regulatory Network Inference
Yue Wang, Peng Zheng, Yu-Chen Cheng +2
Determining gene regulatory network (GRN) structure is a central problem in biology, with a variety of inference methods available for different types of data. For a widely prevale…
Learning Nonlinear Dynamics Using Kalman Smoothing
Jacob Stevens-Haas, Yash Bhangale, Aleksandr Aravkin +1
Identifying Ordinary Differential Equations (ODEs) from measurement data requires both fitting the dynamics and assimilating, either implicitly or explicitly, the measurement data.…
Robust Nonparametric Stochastic Frontier Analysis
Peng Zheng, Nahom Worku, Marlena Bannick +4
Benchmarking tools, including stochastic frontier analysis (SFA), data envelopment analysis (DEA), and its stochastic extension (StoNED) are core tools in economics used to estimat…
Corrected Correlation Estimates for Meta-Analysis
Alexander Johnson-Vázquez, Alexander W. Hsu, Peng Zheng +1
Meta-analysis allows rigorous aggregation of estimates and uncertainty across multiple studies. When a given study reports multiple estimates, such as log odds ratios (ORs) or log…