Scholar
Reinhard Furrer
Google Scholar ID: VRVxt3wAAAAJ
Professor of Applied Statistics, University of Zurich
Spatial Statistics
Large Datasets
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Citations & Impact
All-time
Citations
5,109
H-index
35
i10-index
79
Publications
20
Co-authors
0
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Email
reinhard.furrer@uzh.ch
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Publications
5 items
Scalable non-separable spatio-temporal Gaussian process models for large-scale short-term weather prediction
2026
Cited
0
Time-series Random Process Complexity Ranking Using a Bound on Conditional Differential Entropy
2025
Cited
0
Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes
2025
Cited
0
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
2024
Cited
1
Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data
arXiv.org · 2024
Cited
2
Resume (English only)
Academic Achievements
Publications, Projects, Invited Talks, Presentations, Software (R, shiny, LaTeX), Scientific Services
Research Experience
Position: Professor at the Department of Mathematical Modeling and Machine Learning, University of Zurich
Background
Research interests: spatio-temporal geostatistics, state-space models, nonstationarity, large datasets, (ensemble) Kalman filter, multivariate and robust statistics
Miscellany
E-mail: reinhard.furrer@uzh.ch, Twitter: @ReinhardFurrer, Office: Y27J34, Campus Zurich-Irchel, Group URL: http://www.math.uzh.ch/as
Co-authors
0 total
Co-authors: 0 (list not available)
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