Herbert K. H. Lee的作品
Herbert K. H. Lee is an Assistant Professor of Applied Mathematics and Statistics at the University of California, Santa Cruz. His major research interest is in the field of Bayesian statistics, with primary emphases on spatial inverse problems and connections between statistics and machine learning. While at the Institute of Statistics and Decision Science at Duke, he was part of the NSF/KDI-funded project Multi-Scale Modeling and Simulation in Scientific Inference: Hierarchical Methods for Parameter Estimation in Porous Flow, and he has published journal articles on topics in both Bayesian statistics and machine learning.
Herbert K. H. Lee is an Assistant Professor of Applied Mathematics and Statistics at the University of California, Santa Cruz. His major research interest is in the field of Bayesian statistics, with primary emphases on spatial inverse problems and connections between statistics and machine learning. While at the Institute of Statistics and Decision Science at Duke, he was part of the NSF/KDI-funded project Multi-Scale Modeling and Simulation in Scientific Inference: Hierarchical Methods for Parameter Estimation in Porous Flow, and he has published journal articles on topics in both Bayesian statistics and machine learning.