39 citations · 74 across the 13 of their papers we have counts for
16 papers
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…
Exploring patterns of demand in bike sharing systems via replicated point process models
Daniel Gervini, Manoj Khanal
Understanding patterns of demand is fundamental for fleet management of bike sharing systems. In this paper we analyze data from the Divvy system of the city of Chicago. We show th…
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…