Noel Cressie

Environmental Science · Physical Sciences

75h-index48.8kcitations619works2.02yr avg
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Research Topics

Soil Geostatistics and Mapping(204), Spatial and Panel Data Analysis(114), Atmospheric and Environmental Gas Dynamics(77), Advanced Statistical Methods and Models(75), Statistical Methods and Bayesian Inference(59)

Publications619 total

Spatio-temporal modeling and forecasting with Fourier neural operators
arXiv (Cornell University)·2026Open Access
Spatio-temporal modeling and forecasting with Fourier neural operators
ArXiv.org·2026Open Access
CQUESST: A dynamical stochastic framework for predicting soil-carbon sequestration
The Annals of Applied Statistics·2025· 1 cited
Large volcanic eruptions are mostly sourced above mobile basal mantle structures
Communications Earth & Environment·2025· 2 citedOpen Access
Nicholas Fisher, Noel Cressie and Dennis Trewin’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.
Journal of the Royal Statistical Society Series A (Statistics in Society)·2025Open Access
WOMBAT v2.S: A Bayesian inversion framework for attributing global CO$_2$ flux components from multiprocess data
arXiv (Cornell University)·2025Open Access
Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling
Methods in Ecology and Evolution·2025· 4 citedOpen Access
Neural Parameter Estimation with Incomplete Data
arXiv (Cornell University)·2025Open Access
Links between large volcanic eruptions, basal mantle structures, and mantle plumes
2024Open Access
CQUESST: A dynamical stochastic framework for predicting soil-carbon sequestration
arXiv (Cornell University)·2024Open Access
Spatial Bayesian neural networks
Spatial Statistics·2024· 13 citedOpen Access
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss
Spatial Statistics·2024· 3 citedOpen Access
Links between large volcanic eruptions, basal mantle structures and mantle plumes
2024Open Access
Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework
The Annals of Applied Statistics·2024· 1 cited
Optimal prediction of positive-valued spatial processes: asymmetric power-divergence loss
arXiv (Cornell University)·2024Open Access
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using <b>FRK</b>
Journal of Statistical Software·2024· 8 citedOpen Access
The Robodebt tragedy
Significance·2023· 4 citedOpen Access
Neutral Tropical African CO<sub>2</sub> Exchange Estimated From Aircraft and Satellite Observations
Global Biogeochemical Cycles·2023· 12 citedOpen Access
Spatial Bayesian Neural Networks
arXiv (Cornell University)·2023Open Access
Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data
Remote Sensing·2023· 5 citedOpen Access
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Frequent Co-authors

Christopher K. Wikle(5), Timothy R. C. Read(3), Hsin‐Cheng Huang(3), Douglas M. Hawkins(2), Catherine A. Calder(2), Jay M. Ver Hoef(2), L. Mark Berliner(2), Debra Wunch(2), C. O’Dell(2), David Crisp(2), Nicholas M. Deutscher(2), David Griffith(2), Isamu Morino(2), Justus Notholt(2), Kimberly Strong(2), Thorsten Warneke(2), Andrew Zammit‐Mangion(2), Matthias Katzfuß(2), Mike Rees(1), Gardar Johannesson(1)