3 papers
eess.SP2025
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…
stat.ME2025
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Paradoxically, while the assumptions of second-order stationarity and isotropy appear outdated in light of modern spatial data, they remain remarkably robust in practice, as nonsta…
q-bio.QM2025
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…