Mark D. Risser
- Review: Nonstationary Spatial Modeling, with Emphasis on Process\n Convolution and Covariate-Driven Approaches
2016/10/07 by Mark D. Risser, Risser, Mark D. · 6 citations
Chemistry · Computer Science · Environmental Science · Mathematics · #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Methodology (stat.ME) #Soil Geostatistics and Mapping #Spectroscopy and Chemometric Analyses #Statistical Methods and Inference
- Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
2024/08/02 by Ankur Mahesh, Mahesh, Ankur, William D. Collins +26 · 7 citations
Computer Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
2024/08/06 by Ankur Mahesh, Mahesh, Ankur, William D. Collins +27 · 5 citations
Earth and Planetary Sciences · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
- Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels
2022/05/18 by Marcus M. Noack, Noack, Marcus M., Harinarayan Krishnan +5 · 2 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Probability (math.PR)
- Granger causal inference for climate change attribution
2024/08/13 by Mark D. Risser, Risser, Mark D., Mohammed Ombadi +3 · 3 citations
Environmental Science · Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #Qualitative Comparative Analysis Research #Sustainability and Climate Change Governance
- A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes
2023/09/18 by Marcus M. Noack, Hengrui Luo, Noack, Marcus M. +3 · 2 citations
Computer Science · Engineering · Environmental Science · #Air Quality Monitoring and Forecasting #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR)
- Anthropogenic aerosols mask increases in US rainfall by greenhouse gases
2024/02/22 by Mark D. Risser, William D. Collins, Michael Wehner +3 · 1 voice · 3 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Environmental Gas Dynamics #Climate variability and models #Meteorological Phenomena and Simulations
- Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data
2024/11/07 by Mark D. Risser, Marcus M. Noack, Risser, Mark D. +5 · 1 citation
Computer Science · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications
- Data-driven upper bounds and event attribution for unprecedented heatwaves
2025/01/30 by Mark D. Risser, Likun Zhang, Michael Wehner · 1 voice · 1 citation
Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Financial Risk and Volatility Modeling #Risk and Portfolio Optimization #Statistical Methods and Inference