1 citations · 1 across the 4 of their papers we have counts for
4 papers
Time-series Random Process Complexity Ranking Using a Bound on Conditional Differential Entropy
Jacob Ayers, Richard Hahnloser, Julia Ulrich +5
Conditional differential entropy provides an intuitive measure for relatively ranking time-series complexity by quantifying uncertainty in future observations given past context. H…
Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta
Martin Emons, Samuel Gunz, Helena L. Crowell +3
Spatial omics assays allow for the molecular characterisation of cells in their spatial context. Notably, the two main technological streams, imaging-based and high-throughput sequ…
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
Federico Blasi, Reinhard Furrer
Paradoxically, while the assumptions of second-order stationarity and isotropy appear outdated in light of modern spatial data, they remain remarkably robust in practice, as nonsta…
More than Formulas -- Integrity, Communication, Computing and Reproducibility in Statistics Education
Eva Furrer, Annina Cincera, Reinhard Furrer
This paper introduces a novel course design in the Master Program in Biostatistics at the University of Zurich that integrates computing skills, effective communication, reproducib…