132 citations · 343 across the 32 of their papers we have counts for
38 papers
Compatibility of Space-Time Kernels with Full, Dynamical, or Compact Support
Tarik Faouzi, Reinhard Furrer, Emilio Porcu
We deal with the comparison of space-time covariance kernels having, either, full, spatially dynamical, or space-time compact support. Such a comparison is based on compatibility o…
On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling
Reinhard Furrer, Michael Hediger
For a stationary random function , sampled on a subset of , we examine the equivalence and orthogonality of two zero-mean Gaussian measures …
BiasBed -- Rigorous Texture Bias Evaluation
Nikolai Kalischek, Rodrigo C. Daudt, Torben Peters +3
The well-documented presence of texture bias in modern convolutional neural networks has led to a plethora of algorithms that promote an emphasis on shape cues, often to support ge…
Dominant-feature identification in data from Gaussian processes applied to Finnish forest inventory records
Roman Flury, Tuomas Aakala, Leena Ruha +2
In spatial data, location-dependent variation leads to connected structures known as features. Variations occur at different spatial scales and possibly originate from distinct und…
Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations
Reinhard Furrer, Michael Hediger
Given a zero-mean Gaussian random field with a covariance function that belongs to a parametric family of covariance functions, we introduce a new notion of likelihood approximatio…
Discussion on Competition for Spatial Statistics for Large Datasets
Roman Flury, Reinhard Furrer
We discuss the experiences and results of the AppStatUZH team's participation in the comprehensive and unbiased comparison of different spatial approximations conducted in the Comp…