Spatial point patterns are a commonly recorded form of data in ecology,
...
Model complexity remains a key feature of any proposed data generating
m...
This article proposes methods to model nonstationary temporal graph
proc...
This paper introduces a nonparametric framework for the setting where
mu...
Anomaly detection in network science is the method to determine aberrant...
This article determines how to implement spatial spectral analysis of po...
Complex-valued and widely linear modelling of time series signals are
wi...
We provide a computationally and statistically efficient method for
esti...
This article introduces a new class of models for multiple networks. The...
This paper introduces a new modelling framework for multivariate anisotr...
The Whittle likelihood is a widely used and computationally efficient
ps...
There are three equivalent ways of representing two jointly observed
rea...