Modeling Swiss Toponyms with NLP

In this post I teach a neural network the linguistic and geographical patterns of Swiss place names ('toponyms'). The resulting model is able to generate new place names for a given location, predict the most likely location of an arbitrary (and potentially fictional) place name, and allows us to explore the geographic patterns underlying the distribution of Swiss place names.

Accounting for Immunity in Spatial Processes: The Spatial Susceptibility Model

Political scientists frequently study spatially interdependent processes, such as policy diffusion, democratization, or the spread of violent conflict. Existing studies of such mechanisms typically rely on the spatio-temporal autoregressive (STAR) …


arscpp is a black-box Adaptive Rejection Sampler implemented in R and C++.