Despite repeated associations between T cell infiltration and outcome, human ovarian
cancer remains poorly responsive to immunotherapy. We report that the hallmarks of tumor …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

The spatial and spatio-temporal patterns of wildfire incidence and their relationship to
various geographical and environmental variables are analyzed. Such relationships may be …

Envelope tests are a popular tool in spatial statistics, where they are used in goodness-of-fit
testing. These tests graphically compare an empirical function T (r) with its simulated …

Spatial analysis methods have seen a rapid rise in popularity due to demand from a wide
range of fields. These include, among others, biology, spatial economics, image processing …

We summarize and discuss the current state of spatial point process theory and directions
for future research, making an analogy with generalized linear models and random effect …

The modelling of past settlement and landscape structure from incomplete evidence is a well-
established archaeological agenda. This paper highlights a model of spatial interaction and …

Spatial capture–recapture (SCR) is now routinely used for estimating abundance and
density of wildlife populations. A standard SCR model includes sub‐models for the …

In eukaryotes, the interphase nucleus is organized in morphologically and/or functionally
distinct nuclear “compartments”. Numerous studies highlight functional relationships …

Random point patterns are ubiquitous in nature, and statistical models such as point
processes, ie, algorithms that generate stochastic collections of points, are commonly used …