39 citations · 42 across the 5 of their papers we have counts for
5 papers
Monitoring a developing pandemic with available data
María Luz Gámiz, Enno Mammen, María Dolores Martínez-Miranda +3
This paper addresses statistical modelling and forecasting of key indicators describing the severity of a developing pandemic, using routinely reported daily counts of infections,…
Low quality exposure and point processes with a view to the first phase of a pandemic
María Luz Gámiz, Enno Mammen, María Dolores Martínez-Miranda +1
In the early days of a pandemic there is no time for complicated data collection. One needs a simple cross-country benchmark approach based on robust data that is easy to understan…
Testing first-order intensity model in non-homogeneous Poisson point processes with covariates
M. I. Borrajo, W. González-Manteiga, M. D. Martínez-Miranda
Modelling the first-order intensity function is one of the main aims in point process theory, and it has been approached so far from different perspectives. One appealing model des…
Bootstrapping kernel intensity estimation for nonhomogeneous point processes depending on spatial covariates
M. I. Borrajo, W. González-Manteiga, M. D. Martínez-Miranda
In the spatial point process context, kernel intensity estimation has been mainly restricted to exploratory analysis due to its lack of consistency. Different methods have been ana…
Bandwidth selection for kernel density estimation with length-biased data
María Isabel Borrajo, Wenceslao González-Manteiga, María Dolores Martínez-Miranda
Length-biased data are a particular case of weighted data, which arise in many situations: biomedicine, quality control or epidemiology among others. In this paper we study the the…