Reinhard Furrer
Scholar

Reinhard Furrer

Google Scholar ID: VRVxt3wAAAAJ
Professor of Applied Statistics, University of Zurich
Spatial StatisticsLarge Datasets
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
5,109
 
H-index
35
 
i10-index
79
 
Publications
20
 
Co-authors
0
 
Contact
Emailreinhard.furrer@uzh.chCVOpen ↗TwitterOpen ↗
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
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