John Jakeman

1. The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support
   2020/12/16 by Saman Razavi, Anthony J. Jakeman, Andrea Saltelli +23 · 15 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Probabilistic and Robust Engineering Design
2. Deep learning of parameterized equations with applications to uncertainty quantification
   2019/10/15 by Tong Qin, Zhe Chen, Qin, Tong +5 · 3 citations
   Decision Sciences · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Control Systems and Identification #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design
3. Democratizing Uncertainty Quantification
   2024/02/21 by Linus Seelinger, Anne Reinarz, Seelinger, Linus +45 · 2 citations
   Decision Sciences · #Applications (stat.AP) #Complex Systems and Decision Making #FOS: Computer and information sciences #Mathematical Software (cs.MS)
4. Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion
   2024/07/18 by Rebekah White, John Jakeman, White, Rebekah D. +5 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models