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stat.ME2026
A Bayesian Joint Model for Multiple Point Processes with Application to Presence-Only Data
Laura C. M. Teixeira, Dani Gamerman, Vinicius Peripato +1
Joint modeling of multiple point processes is relevant in applications where relationships among processes are of interest, such as in ecological and archaeological studies. Statis…
stat.ME2026
Nonparametric inference for nonstationary spatial point processes
Izabel Nolau, Flávio B. Gonçalves, Dani Gamerman
Point pattern data often exhibit features such as abrupt changes, hotspots and spatially varying dependence in local intensity. Under a Poisson process framework, these correspond…