Spatially correlated data with an excess of zeros, usually referred to a...
Newly available point-level datasets allow us to relate police use of fo...
Riverine floods pose a considerable risk to many communities. Improving ...
Motivated by foot-and-mouth disease (FMD) outbreak data from Turkey, we
...
Models with intractable normalizing functions have numerous applications...
There are rich new marked point process data that allow researchers to s...
Hierarchical spatial models are very flexible and popular for a vast arr...
Monte Carlo maximum likelihood (MCML) provides an elegant approach to fi...
Spatial generalized linear mixed models (SGLMMs) are popular and flexibl...
Rapid changes in Earth's cryosphere caused by human activity can lead to...
We consider the scientifically challenging and policy-relevant task of
u...
Arctic sea ice plays an important role in the global climate. Sea ice mo...
Doubly intractable distributions arise in many settings, for example in
...