39 citations · 74 across the 13 of their papers we have counts for
14 papers · 1 filter
Trend and seasonality estimation for point-process time series
Daniel Gervini, Simon A. Kopischke
This article introduces estimators of trend and seasonality for time series of point processes. We assume the point processes follow a temporal or spatial doubly-stochastic Poisson…
Autocorrelation functions for point-process time series
Daniel Gervini
This article introduces autocorrelograms for time series of point processes. Such time series usually arise when a longer temporal or spatio-temporal point process is sliced into s…
Spatial kriging for replicated temporal point processes
Daniel Gervini
This paper presents a kriging method for spatial prediction of temporal intensity functions, for situations where a temporal point process is observed at different spatial location…
Doubly stochastic models for replicated spatio-temporal point processes
Daniel Gervini
This paper proposes a log-linear model for the latent intensity functions of a replicated spatio-temporal point process. By simultaneously fitting correlated spatial and temporal K…
Multiplicative component models for replicated point processes
Daniel Gervini
We propose a multiplicative semiparametric model for the intensity function of replicated point processes. Two examples of applications are given: a temporal one, about the dynamic…
Joint models for grid point and response processes in longitudinal and functional data
Daniel Gervini, Tyler J. Baur
The distribution of the grid points at which a response function is observed in longitudinal or functional data applications is often informative and not independent of the respons…