45 results on '"Katzfuss, Matthias"'
Search Results
2. Locally Anisotropic Nonstationary Covariance Functions on the Sphere
3. Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data
4. Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields
5. Climate Change Detection and Attribution
6. Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference
7. Ordered conditional approximation of Potts models
8. Supplementary material to "Functional ANOVA for Carbon Flux Estimates from Remote Sensing Data"
9. Functional ANOVA for Carbon Flux Estimates from Remote Sensing Data
10. Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition
11. Scaled Vecchia Approximation for Fast Computer-Model Emulation
12. Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing via Gaussian Process Priors
13. Multi-Scale Vecchia Approximations of Gaussian Processes
14. Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering
15. High-Dimensional Nonlinear Spatio-Temporal Filtering by Compressing Hierarchical Sparse Cholesky Factors
16. Interpretation of point forecasts with unknown directive
17. Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide
18. Ensemble Kalman filter updates based on regularized sparse inverse Cholesky factors
19. Multi-Resolution Filters for Massive Spatio-Temporal Data
20. A Multiscale Spatio-Temporal Big Data Fusion Algorithm from Point to Satellite Footprint Scales
21. Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations
22. A General Framework for Vecchia Approximations of Gaussian Processes
23. Bayesian Nonstationary and Nonparametric Covariance Estimation for Large Spatial Data
24. Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
25. Sparse Cholesky Factorization by Kullback--Leibler Minimization
26. Vecchia Approximations of Gaussian-Process Predictions
27. A class of multi-resolution approximations for large spatial datasets
28. Multiscale Data Fusion for Surface Soil Moisture Estimation: A Spatial Hierarchical Approach
29. Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles
30. Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models
31. A Nonstationary Geostatistical Framework for Soil Moisture Prediction in the Presence of Surface Heterogeneity
32. A Case Study Competition Among Methods for Analyzing Large Spatial Data
33. Ensemble Kalman Filter
34. A Bayesian Adaptive Ensemble Kalman Filter for Sequential State and Parameter Estimation
35. A Bayesian hierarchical model for climate change detection and attribution
36. A Multi-Resolution Approximation for Massive Spatial Datasets
37. Understanding the Ensemble Kalman Filter
38. Parallel inference for massive distributed spatial data using low-rank models
39. Comment on Article by Dawid and Musio
40. Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets
41. Probabilistic Forecasting
42. Bayesian nonstationary spatial modeling for very large datasets
43. Bayesian hierarchical spatio‐temporal smoothing for very large datasets
44. Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets
45. Spatio-temporal models for large-scale indicators of extreme weather
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